From 1bea8505de7464d9bfaf2af05a0c81bb811e9f3e Mon Sep 17 00:00:00 2001
From: yanirs <yanirs@users.noreply.github.com>
Date: Mon, 25 Nov 2024 02:38:53 +0000
Subject: [PATCH] deploy: fddcddb1c128b1b6c15ffc1278c4ff9ff19c37db

---
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diff --git a/index.html b/index.html
index de7f56f5b..62696ba27 100644
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+<!doctype html><html lang=en dir=auto><head><meta name=generator content="Hugo 0.139.2"><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=robots content="index, follow"><title>Yanir Seroussi | Data & AI for Startup Impact</title>
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 "><script type=application/ld+json>{"@context":"https://schema.org","@type":"Organization","name":"Yanir Seroussi | Data \u0026 AI for Startup Impact","url":"https://yanirseroussi.com/","description":"Helping climate \u0026 nature tech startups ship data-intensive solutions (artificial intelligence, machine learning, data science, and advanced analytics).\n","logo":"https://yanirseroussi.com/favicon.ico","sameAs":["https://www.linkedin.com/in/yanirseroussi/","https://github.com/yanirs/","https://scholar.google.com.au/citations?user=NR254LoAAAAJ","/contact/"]}</script></head><body class=list id=top><script>localStorage.getItem("pref-theme")==="dark"?document.body.classList.add("dark"):localStorage.getItem("pref-theme")==="light"?document.body.classList.remove("dark"):window.matchMedia("(prefers-color-scheme: dark)").matches&&document.body.classList.add("dark")</script><header class=header><nav class=nav><div class=logo><a href=https://yanirseroussi.com/ accesskey=h title="Yanir Seroussi | Data & AI for Startup Impact (Alt + H)">Yanir Seroussi | Data & AI for Startup Impact</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 12.79A9 9 0 1111.21 3 7 7 0 0021 12.79z"/></svg><svg id="sun" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="5"/><line x1="12" y1="1" x2="12" y2="3"/><line x1="12" y1="21" x2="12" y2="23"/><line x1="4.22" y1="4.22" x2="5.64" y2="5.64"/><line x1="18.36" y1="18.36" x2="19.78" y2="19.78"/><line x1="1" y1="12" x2="3" y2="12"/><line x1="21" y1="12" x2="23" y2="12"/><line x1="4.22" y1="19.78" x2="5.64" y2="18.36"/><line x1="18.36" y1="5.64" x2="19.78" y2="4.22"/></svg></button></div></div><button id=menu-trigger aria-haspopup=menu aria-label="Menu Button"><svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-menu"><line x1="3" y1="12" x2="21" y2="12"/><line x1="3" y1="6" x2="21" y2="6"/><line x1="3" y1="18" x2="21" y2="18"/></svg></button><ul class="menu hidden"><li><a href=https://yanirseroussi.com/about/ title=About><span>About</span></a></li><li><a href=https://yanirseroussi.com/posts/ title=Writing><span>Writing</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Speaking><span>Speaking</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><div class=profile><div class=profile_inner><img draggable=false src=https://yanirseroussi.com/home-profile.webp alt="Yanir Seroussi's profile picture" title="Yanir Seroussi's profile picture" height=250 width=278><h1>Yanir Seroussi<br>Startup Data & AI Consultant</h1><span><dl><dt><strong>Current mission:</strong></dt><dd><a href=/consult/>Helping climate & nature tech startups ship data-intensive solutions. 🐳</a></dd><dt><strong>Industry experience:</strong></dt><dd><a href=/about/>Over a decade with startups & scaleups across data science, engineering, and tech leadership roles.</a></dd><dt><strong>Formal education:</strong></dt><dd><a href=/about/#past-work-examples>BSc in Computer Science. PhD in Artificial Intelligence. Still learning every day.</a></dd><dt><strong>Sample testimonial:</strong></dt><dd><em><a href=/about/#testimonials>&ldquo;The single most talented person I&rsquo;ve had the opportunity to work with in my nearly 15 years in Data/ML.&rdquo;</a></em></dd><dt><strong>Writing topics:</strong></dt><dd><a href=/posts/>Data / AI / ML, with a focus on practical applications for startups.</a></dd></dl></span><div class=social-icons><a href=https://www.linkedin.com/in/yanirseroussi/ target=_blank rel="noopener noreferrer me" title=LinkedIn><svg viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M16 8a6 6 0 016 6v7h-4v-7a2 2 0 00-2-2 2 2 0 00-2 2v7h-4v-7a6 6 0 016-6z"/><rect x="2" y="9" width="4" height="12"/><circle cx="4" cy="4" r="2"/></svg>
diff --git a/index.xml b/index.xml
index 35a1c831f..61d9f0a33 100644
--- a/index.xml
+++ b/index.xml
@@ -1 +1 @@
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For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>Giving up on the minimum viable data stack</title><link>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</link><pubDate>Mon, 19 Aug 2024 03:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</guid><description>Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.</description></item><item><title>Keep learning: Your career is never truly done</title><link>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</link><pubDate>Mon, 12 Aug 2024 01:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</guid><description>Podcast chat on my career journey from software engineering to data science and independent consulting.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Stay alert! Security is everyone's responsibility</title><link>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</link><pubDate>Mon, 01 Jul 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</guid><description>Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>The data engineering lifecycle is not going anywhere</title><link>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</link><pubDate>Fri, 05 Apr 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</guid><description>My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Atomic Habits is full of actionable advice</title><link>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</link><pubDate>Tue, 12 Mar 2024 06:19:31 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</guid><description>I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item><item><title>The three Cs of indie consulting: Confidence, Cash, and Connections</title><link>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</link><pubDate>Sat, 17 Feb 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</guid><description>Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.</description></item><item><title>Nudging ChatGPT to invent books you have no time to read</title><link>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</link><pubDate>Mon, 12 Feb 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</guid><description>Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.</description></item><item><title>Future software development may require fewer humans</title><link>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</link><pubDate>Tue, 06 Feb 2024 06:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</guid><description>Reflecting on an interview with Jason Warner, CEO of poolside.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Psychographic specialisations may work for discipline generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Our Blue Machine is changing, but we are not helpless</title><link>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</link><pubDate>Tue, 28 Nov 2023 06:40:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</guid><description>One of my many highlights from Helen Czerski&amp;rsquo;s Blue Machine.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &amp;lsquo;artificial intelligence&amp;rsquo; with &amp;lsquo;automation&amp;rsquo; is a useful trick for cutting through the hype.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>My rediscovery of quiet writing on the open web</title><link>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</link><pubDate>Mon, 28 Aug 2023 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</guid><description>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Email notifications on public GitHub commits</title><link>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</link><pubDate>Mon, 14 Aug 2023 05:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</guid><description>GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.</description></item><item><title>The rule of thirds can probably be ignored</title><link>https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/</link><pubDate>Fri, 11 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/</guid><description>Turns out that the rule of thirds for composing visuals may not be that important.</description></item><item><title>Using YubiKey for SSH access</title><link>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</link><pubDate>Sun, 23 Jul 2023 00:07:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</guid><description>Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.</description></item><item><title>Making a TIL section with Hugo and PaperMod</title><link>https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/</link><pubDate>Mon, 17 Jul 2023 00:06:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/</guid><description>How I added a Today I Learned section to my Hugo site with the PaperMod theme.</description></item><item><title>You can't save time</title><link>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</link><pubDate>Tue, 11 Jul 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</guid><description>Time can be spent doing different activities, but it can&amp;rsquo;t be stored and saved for later.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Migrating from WordPress.com to Hugo on GitHub + Cloudflare</title><link>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</link><pubDate>Wed, 10 Nov 2021 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</guid><description>My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>State of Bandcamp Recommender, Late 2017</title><link>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</link><pubDate>Sat, 02 Sep 2017 10:19:02 +0000</pubDate><guid>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</guid><description>Call for BCRecommender maintainers followed by a decision to shut it down, as I don&amp;rsquo;t have enough time and Bandcamp now offers recommendations.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Ask Why! Finding motives, causes, and purpose in data science</title><link>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</link><pubDate>Mon, 19 Sep 2016 21:28:44 +0000</pubDate><guid>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</guid><description>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp;amp; how of predictive modelling.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Deep learning resources</title><link>https://yanirseroussi.com/deep-learning-resources/</link><pubDate>Mon, 06 Jul 2015 00:38:44 +0000</pubDate><guid>https://yanirseroussi.com/deep-learning-resources/</guid><description>Useful posts and papers on the topic of deep learning (circa 2015).</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My divestment from fossil fuels</title><link>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</link><pubDate>Fri, 24 Apr 2015 00:19:36 +0000</pubDate><guid>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</guid><description>Recent choices I&amp;rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>SEO: Mostly about showing up?</title><link>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</link><pubDate>Mon, 15 Dec 2014 04:25:25 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</guid><description>Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item><item><title>About Yanir: Startup Data &amp; AI Consultant</title><link>https://yanirseroussi.com/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/about/</guid><description>About Yanir Seroussi, a hands-on data tech lead with over a decade of experience. Yanir helps climate/nature tech startups ship data-intensive solutions.</description></item><item><title>Book a free fifteen-minute call</title><link>https://yanirseroussi.com/free-intro-call/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/free-intro-call/</guid><description>Booking form for a quick intro call with Yanir Seroussi.</description></item><item><title>Causal inference resources</title><link>https://yanirseroussi.com/causal-inference-resources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/causal-inference-resources/</guid><description>Useful books, articles, and courses on the topic of causal inference.</description></item><item><title>Free Guide: Data-to-AI Health Check for Startups</title><link>https://yanirseroussi.com/data-to-ai-health-check/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/data-to-ai-health-check/</guid><description>Download a free PDF guide that helps you assess a startup&amp;rsquo;s Data-to-AI health by probing eight key areas.</description></item><item><title>Helping climate &amp; nature tech startups ship data-intensive solutions</title><link>https://yanirseroussi.com/consult/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/consult/</guid><description>Consulting for climate &amp;amp; nature tech startups: Strategic advice, implementation of Data/AI/ML solutions, and hiring help by an experienced tech leader.</description></item><item><title>Speaking engagements by Yanir: Startup Data &amp; AI Consultant</title><link>https://yanirseroussi.com/talks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/talks/</guid><description>Yanir Seroussi speaks on data science, artificial intelligence, machine learning, and career journey.</description></item><item><title>Stay in touch</title><link>https://yanirseroussi.com/contact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/contact/</guid><description>Contact me or subscribe to the mailing list.</description></item></channel></rss>
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/</link><description>Recent content on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 18 Nov 2024 11:12:27 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Don't build AI, build with AI</title><link>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</link><pubDate>Mon, 18 Nov 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</guid><description>Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>Giving up on the minimum viable data stack</title><link>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</link><pubDate>Mon, 19 Aug 2024 03:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</guid><description>Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.</description></item><item><title>Keep learning: Your career is never truly done</title><link>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</link><pubDate>Mon, 12 Aug 2024 01:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</guid><description>Podcast chat on my career journey from software engineering to data science and independent consulting.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Stay alert! Security is everyone's responsibility</title><link>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</link><pubDate>Mon, 01 Jul 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</guid><description>Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>The data engineering lifecycle is not going anywhere</title><link>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</link><pubDate>Fri, 05 Apr 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</guid><description>My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Atomic Habits is full of actionable advice</title><link>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</link><pubDate>Tue, 12 Mar 2024 06:19:31 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</guid><description>I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item><item><title>The three Cs of indie consulting: Confidence, Cash, and Connections</title><link>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</link><pubDate>Sat, 17 Feb 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</guid><description>Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.</description></item><item><title>Nudging ChatGPT to invent books you have no time to read</title><link>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</link><pubDate>Mon, 12 Feb 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</guid><description>Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.</description></item><item><title>Future software development may require fewer humans</title><link>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</link><pubDate>Tue, 06 Feb 2024 06:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</guid><description>Reflecting on an interview with Jason Warner, CEO of poolside.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Psychographic specialisations may work for discipline generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Our Blue Machine is changing, but we are not helpless</title><link>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</link><pubDate>Tue, 28 Nov 2023 06:40:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</guid><description>One of my many highlights from Helen Czerski&amp;rsquo;s Blue Machine.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &amp;lsquo;artificial intelligence&amp;rsquo; with &amp;lsquo;automation&amp;rsquo; is a useful trick for cutting through the hype.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>My rediscovery of quiet writing on the open web</title><link>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</link><pubDate>Mon, 28 Aug 2023 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</guid><description>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Email notifications on public GitHub commits</title><link>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</link><pubDate>Mon, 14 Aug 2023 05:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</guid><description>GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.</description></item><item><title>The rule of thirds can probably be ignored</title><link>https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/</link><pubDate>Fri, 11 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/</guid><description>Turns out that the rule of thirds for composing visuals may not be that important.</description></item><item><title>Using YubiKey for SSH access</title><link>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</link><pubDate>Sun, 23 Jul 2023 00:07:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</guid><description>Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.</description></item><item><title>Making a TIL section with Hugo and PaperMod</title><link>https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/</link><pubDate>Mon, 17 Jul 2023 00:06:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/</guid><description>How I added a Today I Learned section to my Hugo site with the PaperMod theme.</description></item><item><title>You can't save time</title><link>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</link><pubDate>Tue, 11 Jul 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</guid><description>Time can be spent doing different activities, but it can&amp;rsquo;t be stored and saved for later.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Migrating from WordPress.com to Hugo on GitHub + Cloudflare</title><link>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</link><pubDate>Wed, 10 Nov 2021 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</guid><description>My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>State of Bandcamp Recommender, Late 2017</title><link>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</link><pubDate>Sat, 02 Sep 2017 10:19:02 +0000</pubDate><guid>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</guid><description>Call for BCRecommender maintainers followed by a decision to shut it down, as I don&amp;rsquo;t have enough time and Bandcamp now offers recommendations.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Ask Why! Finding motives, causes, and purpose in data science</title><link>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</link><pubDate>Mon, 19 Sep 2016 21:28:44 +0000</pubDate><guid>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</guid><description>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp;amp; how of predictive modelling.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Deep learning resources</title><link>https://yanirseroussi.com/deep-learning-resources/</link><pubDate>Mon, 06 Jul 2015 00:38:44 +0000</pubDate><guid>https://yanirseroussi.com/deep-learning-resources/</guid><description>Useful posts and papers on the topic of deep learning (circa 2015).</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My divestment from fossil fuels</title><link>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</link><pubDate>Fri, 24 Apr 2015 00:19:36 +0000</pubDate><guid>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</guid><description>Recent choices I&amp;rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>SEO: Mostly about showing up?</title><link>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</link><pubDate>Mon, 15 Dec 2014 04:25:25 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</guid><description>Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item><item><title>About Yanir: Startup Data &amp; AI Consultant</title><link>https://yanirseroussi.com/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/about/</guid><description>About Yanir Seroussi, a hands-on data tech lead with over a decade of experience. Yanir helps climate/nature tech startups ship data-intensive solutions.</description></item><item><title>Book a free fifteen-minute call</title><link>https://yanirseroussi.com/free-intro-call/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/free-intro-call/</guid><description>Booking form for a quick intro call with Yanir Seroussi.</description></item><item><title>Causal inference resources</title><link>https://yanirseroussi.com/causal-inference-resources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/causal-inference-resources/</guid><description>Useful books, articles, and courses on the topic of causal inference.</description></item><item><title>Free Guide: Data-to-AI Health Check for Startups</title><link>https://yanirseroussi.com/data-to-ai-health-check/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/data-to-ai-health-check/</guid><description>Download a free PDF guide that helps you assess a startup&amp;rsquo;s Data-to-AI health by probing eight key areas.</description></item><item><title>Helping climate &amp; nature tech startups ship data-intensive solutions</title><link>https://yanirseroussi.com/consult/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/consult/</guid><description>Consulting for climate &amp;amp; nature tech startups: Strategic advice, implementation of Data/AI/ML solutions, and hiring help by an experienced tech leader.</description></item><item><title>Speaking engagements by Yanir: Startup Data &amp; AI Consultant</title><link>https://yanirseroussi.com/talks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/talks/</guid><description>Yanir Seroussi speaks on data science, artificial intelligence, machine learning, and career journey.</description></item><item><title>Stay in touch</title><link>https://yanirseroussi.com/contact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/contact/</guid><description>Contact me or subscribe to the mailing list.</description></item></channel></rss>
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-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Browse Posts on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/posts/</link><description>Recent content in Browse Posts on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><atom:link href="https://yanirseroussi.com/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>Don't build AI, build with AI</title><link>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</link><pubDate>Mon, 18 Nov 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</guid><description>Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>Giving up on the minimum viable data stack</title><link>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</link><pubDate>Mon, 19 Aug 2024 03:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</guid><description>Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.</description></item><item><title>Keep learning: Your career is never truly done</title><link>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</link><pubDate>Mon, 12 Aug 2024 01:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</guid><description>Podcast chat on my career journey from software engineering to data science and independent consulting.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Stay alert! Security is everyone's responsibility</title><link>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</link><pubDate>Mon, 01 Jul 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</guid><description>Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item><item><title>Nudging ChatGPT to invent books you have no time to read</title><link>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</link><pubDate>Mon, 12 Feb 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</guid><description>Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>My rediscovery of quiet writing on the open web</title><link>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</link><pubDate>Mon, 28 Aug 2023 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</guid><description>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Migrating from WordPress.com to Hugo on GitHub + Cloudflare</title><link>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</link><pubDate>Wed, 10 Nov 2021 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</guid><description>My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>State of Bandcamp Recommender, Late 2017</title><link>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</link><pubDate>Sat, 02 Sep 2017 10:19:02 +0000</pubDate><guid>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</guid><description>Call for BCRecommender maintainers followed by a decision to shut it down, as I don&amp;rsquo;t have enough time and Bandcamp now offers recommendations.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Ask Why! Finding motives, causes, and purpose in data science</title><link>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</link><pubDate>Mon, 19 Sep 2016 21:28:44 +0000</pubDate><guid>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</guid><description>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp;amp; how of predictive modelling.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My divestment from fossil fuels</title><link>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</link><pubDate>Fri, 24 Apr 2015 00:19:36 +0000</pubDate><guid>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</guid><description>Recent choices I&amp;rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>SEO: Mostly about showing up?</title><link>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</link><pubDate>Mon, 15 Dec 2014 04:25:25 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</guid><description>Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Browse Posts on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/posts/</link><description>Recent content in Browse Posts on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><atom:link href="https://yanirseroussi.com/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>Don't build AI, build with AI</title><link>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</link><pubDate>Mon, 18 Nov 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</guid><description>Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>Giving up on the minimum viable data stack</title><link>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</link><pubDate>Mon, 19 Aug 2024 03:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</guid><description>Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.</description></item><item><title>Keep learning: Your career is never truly done</title><link>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</link><pubDate>Mon, 12 Aug 2024 01:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</guid><description>Podcast chat on my career journey from software engineering to data science and independent consulting.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Stay alert! Security is everyone's responsibility</title><link>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</link><pubDate>Mon, 01 Jul 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</guid><description>Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item><item><title>Nudging ChatGPT to invent books you have no time to read</title><link>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</link><pubDate>Mon, 12 Feb 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</guid><description>Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>My rediscovery of quiet writing on the open web</title><link>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</link><pubDate>Mon, 28 Aug 2023 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/</guid><description>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Migrating from WordPress.com to Hugo on GitHub + Cloudflare</title><link>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</link><pubDate>Wed, 10 Nov 2021 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/</guid><description>My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>State of Bandcamp Recommender, Late 2017</title><link>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</link><pubDate>Sat, 02 Sep 2017 10:19:02 +0000</pubDate><guid>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</guid><description>Call for BCRecommender maintainers followed by a decision to shut it down, as I don&amp;rsquo;t have enough time and Bandcamp now offers recommendations.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Ask Why! Finding motives, causes, and purpose in data science</title><link>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</link><pubDate>Mon, 19 Sep 2016 21:28:44 +0000</pubDate><guid>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</guid><description>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp;amp; how of predictive modelling.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My divestment from fossil fuels</title><link>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</link><pubDate>Fri, 24 Apr 2015 00:19:36 +0000</pubDate><guid>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</guid><description>Recent choices I&amp;rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>SEO: Mostly about showing up?</title><link>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</link><pubDate>Mon, 15 Dec 2014 04:25:25 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</guid><description>Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
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diff --git a/tags/analytics/index.xml b/tags/analytics/index.xml
index d2e7f5feb..515c199ea 100644
--- a/tags/analytics/index.xml
+++ b/tags/analytics/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Analytics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/analytics/</link><description>Recent content in Analytics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 22 Jul 2024 12:46:49 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/analytics/index.xml" rel="self" type="application/rss+xml"/><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Analytics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/analytics/</link><description>Recent content in Analytics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 22 Jul 2024 12:46:49 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/analytics/index.xml" rel="self" type="application/rss+xml"/><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/artificial-intelligence/index.xml b/tags/artificial-intelligence/index.xml
index 0040ea34d..3a936d622 100644
--- a/tags/artificial-intelligence/index.xml
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@@ -1 +1 @@
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AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Nudging ChatGPT to invent books you have no time to read</title><link>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</link><pubDate>Mon, 12 Feb 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</guid><description>Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.</description></item><item><title>Future software development may require fewer humans</title><link>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</link><pubDate>Tue, 06 Feb 2024 06:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</guid><description>Reflecting on an interview with Jason Warner, CEO of poolside.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &amp;lsquo;artificial intelligence&amp;rsquo; with &amp;lsquo;automation&amp;rsquo; is a useful trick for cutting through the hype.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item></channel></rss>
\ No newline at end of file
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The general ideas apply to past and future hype waves in tech.</description></item><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Nudging ChatGPT to invent books you have no time to read</title><link>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</link><pubDate>Mon, 12 Feb 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/</guid><description>Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.</description></item><item><title>Future software development may require fewer humans</title><link>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</link><pubDate>Tue, 06 Feb 2024 06:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/</guid><description>Reflecting on an interview with Jason Warner, CEO of poolside.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &amp;lsquo;artificial intelligence&amp;rsquo; with &amp;lsquo;automation&amp;rsquo; is a useful trick for cutting through the hype.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item></channel></rss>
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diff --git a/tags/automattic/index.xml b/tags/automattic/index.xml
index a71cca3b8..09448671f 100644
--- a/tags/automattic/index.xml
+++ b/tags/automattic/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Automattic on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/automattic/</link><description>Recent content in Automattic on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/automattic/index.xml" rel="self" type="application/rss+xml"/><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Automattic on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/automattic/</link><description>Recent content in Automattic on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/automattic/index.xml" rel="self" type="application/rss+xml"/><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item></channel></rss>
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diff --git a/tags/bandcamp/index.xml b/tags/bandcamp/index.xml
index 0d770520e..3832de09c 100644
--- a/tags/bandcamp/index.xml
+++ b/tags/bandcamp/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Bandcamp on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/bandcamp/</link><description>Recent content in Bandcamp on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/bandcamp/index.xml" rel="self" type="application/rss+xml"/><item><title>State of Bandcamp Recommender, Late 2017</title><link>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</link><pubDate>Sat, 02 Sep 2017 10:19:02 +0000</pubDate><guid>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</guid><description>Call for BCRecommender maintainers followed by a decision to shut it down, as I don&amp;rsquo;t have enough time and Bandcamp now offers recommendations.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/bcrecommender/index.xml b/tags/bcrecommender/index.xml
index 0b6180b45..c5aed1056 100644
--- a/tags/bcrecommender/index.xml
+++ b/tags/bcrecommender/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>BCRecommender on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/bcrecommender/</link><description>Recent content in BCRecommender on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/bcrecommender/index.xml" rel="self" type="application/rss+xml"/><item><title>State of Bandcamp Recommender, Late 2017</title><link>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</link><pubDate>Sat, 02 Sep 2017 10:19:02 +0000</pubDate><guid>https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/</guid><description>Call for BCRecommender maintainers followed by a decision to shut it down, as I don&amp;rsquo;t have enough time and Bandcamp now offers recommendations.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>SEO: Mostly about showing up?</title><link>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</link><pubDate>Mon, 15 Dec 2014 04:25:25 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/</guid><description>Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/blogging/index.xml b/tags/blogging/index.xml
index 4b1b0f320..dc32155e3 100644
--- a/tags/blogging/index.xml
+++ b/tags/blogging/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/books/index.xml b/tags/books/index.xml
index 59068c38c..c1ee3884a 100644
--- a/tags/books/index.xml
+++ b/tags/books/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Books on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/books/</link><description>Recent content in Books on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Wed, 12 Jun 2024 12:58:06 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/books/index.xml" rel="self" type="application/rss+xml"/><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>The data engineering lifecycle is not going anywhere</title><link>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</link><pubDate>Fri, 05 Apr 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</guid><description>My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.</description></item><item><title>Atomic Habits is full of actionable advice</title><link>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</link><pubDate>Tue, 12 Mar 2024 06:19:31 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</guid><description>I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.</description></item><item><title>Our Blue Machine is changing, but we are not helpless</title><link>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</link><pubDate>Tue, 28 Nov 2023 06:40:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</guid><description>One of my many highlights from Helen Czerski&amp;rsquo;s Blue Machine.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>You can't save time</title><link>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</link><pubDate>Tue, 11 Jul 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</guid><description>Time can be spent doing different activities, but it can&amp;rsquo;t be stored and saved for later.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Books on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/books/</link><description>Recent content in Books on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Wed, 12 Jun 2024 12:58:06 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/books/index.xml" rel="self" type="application/rss+xml"/><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>The data engineering lifecycle is not going anywhere</title><link>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</link><pubDate>Fri, 05 Apr 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</guid><description>My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.</description></item><item><title>Atomic Habits is full of actionable advice</title><link>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</link><pubDate>Tue, 12 Mar 2024 06:19:31 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</guid><description>I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.</description></item><item><title>Our Blue Machine is changing, but we are not helpless</title><link>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</link><pubDate>Tue, 28 Nov 2023 06:40:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</guid><description>One of my many highlights from Helen Czerski&amp;rsquo;s Blue Machine.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>You can't save time</title><link>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</link><pubDate>Tue, 11 Jul 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</guid><description>Time can be spent doing different activities, but it can&amp;rsquo;t be stored and saved for later.</description></item></channel></rss>
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diff --git a/tags/bootstrapping/index.xml b/tags/bootstrapping/index.xml
index c99480f42..8e0fe9d5d 100644
--- a/tags/bootstrapping/index.xml
+++ b/tags/bootstrapping/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Bootstrapping on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/bootstrapping/</link><description>Recent content in Bootstrapping on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/bootstrapping/index.xml" rel="self" type="application/rss+xml"/><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Bootstrapping on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/bootstrapping/</link><description>Recent content in Bootstrapping on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/bootstrapping/index.xml" rel="self" type="application/rss+xml"/><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/business/index.xml b/tags/business/index.xml
index 118f7ada0..cac48ea55 100644
--- a/tags/business/index.xml
+++ b/tags/business/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Business on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/business/</link><description>Recent content in Business on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 18 Nov 2024 11:12:27 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/business/index.xml" rel="self" type="application/rss+xml"/><item><title>Don't build AI, build with AI</title><link>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</link><pubDate>Mon, 18 Nov 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</guid><description>Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>The three Cs of indie consulting: Confidence, Cash, and Connections</title><link>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</link><pubDate>Sat, 17 Feb 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</guid><description>Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>Psychographic specialisations may work for discipline generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item></channel></rss>
\ No newline at end of file
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For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>The three Cs of indie consulting: Confidence, Cash, and Connections</title><link>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</link><pubDate>Sat, 17 Feb 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</guid><description>Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>Psychographic specialisations may work for discipline generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item></channel></rss>
\ No newline at end of file
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@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Career on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/career/</link><description>Recent content in Career on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 09 Sep 2024 11:04:57 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/career/index.xml" rel="self" type="application/rss+xml"/><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>AI hype, AI bullshit, and the real deal</title><link>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</link><pubDate>Mon, 26 Aug 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/</guid><description>My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.</description></item><item><title>Keep learning: Your career is never truly done</title><link>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</link><pubDate>Mon, 12 Aug 2024 01:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</guid><description>Podcast chat on my career journey from software engineering to data science and independent consulting.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>The rules of the passion economy</title><link>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</link><pubDate>Wed, 12 Jun 2024 02:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/</guid><description>Summary of the main messages from the book The Passion Economy by Adam Davidson.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>The data engineering lifecycle is not going anywhere</title><link>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</link><pubDate>Fri, 05 Apr 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</guid><description>My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.</description></item><item><title>Atomic Habits is full of actionable advice</title><link>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</link><pubDate>Tue, 12 Mar 2024 06:19:31 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</guid><description>I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.</description></item><item><title>The three Cs of indie consulting: Confidence, Cash, and Connections</title><link>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</link><pubDate>Sat, 17 Feb 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</guid><description>Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>Psychographic specialisations may work for discipline generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item></channel></rss>
\ No newline at end of file
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processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Adapting to the economy of algorithms</title><link>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</link><pubDate>Sat, 25 May 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/</guid><description>Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>The data engineering lifecycle is not going anywhere</title><link>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</link><pubDate>Fri, 05 Apr 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/</guid><description>My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.</description></item><item><title>Atomic Habits is full of actionable advice</title><link>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</link><pubDate>Tue, 12 Mar 2024 06:19:31 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/</guid><description>I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.</description></item><item><title>The three Cs of indie consulting: Confidence, Cash, and Connections</title><link>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</link><pubDate>Sat, 17 Feb 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/</guid><description>Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>Psychographic specialisations may work for discipline generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. 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\ No newline at end of file
diff --git a/tags/causal-inference/index.xml b/tags/causal-inference/index.xml
index 6dc1fa826..979c1f706 100644
--- a/tags/causal-inference/index.xml
+++ b/tags/causal-inference/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/climate-change/index.xml b/tags/climate-change/index.xml
index dda041d00..2aacc4ff9 100644
--- a/tags/climate-change/index.xml
+++ b/tags/climate-change/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/cloudflare/index.xml b/tags/cloudflare/index.xml
index 3a06f6a32..984a3c471 100644
--- a/tags/cloudflare/index.xml
+++ b/tags/cloudflare/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/confidence-intervals/index.xml b/tags/confidence-intervals/index.xml
index 21cf92756..4ba6c1208 100644
--- a/tags/confidence-intervals/index.xml
+++ b/tags/confidence-intervals/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/consulting/index.xml b/tags/consulting/index.xml
index 6964e3b22..0258ca2b0 100644
--- a/tags/consulting/index.xml
+++ b/tags/consulting/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/data-business/index.xml b/tags/data-business/index.xml
index 545de4a07..3ff8d4fa3 100644
--- a/tags/data-business/index.xml
+++ b/tags/data-business/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/data-engineering/index.xml b/tags/data-engineering/index.xml
index 39f93971c..2de376a83 100644
--- a/tags/data-engineering/index.xml
+++ b/tags/data-engineering/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/tags/data-hiring/index.xml b/tags/data-hiring/index.xml
index f2f5755fc..ba91e53e5 100644
--- a/tags/data-hiring/index.xml
+++ b/tags/data-hiring/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/data-science/index.xml b/tags/data-science/index.xml
index 4cae49886..e0856e0f6 100644
--- a/tags/data-science/index.xml
+++ b/tags/data-science/index.xml
@@ -1 +1 @@
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from software engineering to data science and independent consulting.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Ask Why! Finding motives, causes, and purpose in data science</title><link>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</link><pubDate>Mon, 19 Sep 2016 21:28:44 +0000</pubDate><guid>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</guid><description>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp;amp; how of predictive modelling.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
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For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>Data, AI, humans, and climate: Carving a consulting niche</title><link>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</link><pubDate>Mon, 09 Sep 2024 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/</guid><description>Podcast chat on the reality of Data &amp;amp; AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>Keep learning: Your career is never truly done</title><link>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</link><pubDate>Mon, 12 Aug 2024 01:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/</guid><description>Podcast chat on my career journey from software engineering to data science and independent consulting.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Impact&amp;rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Lessons from reluctant data engineering</title><link>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</link><pubDate>Wed, 25 Oct 2023 04:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/</guid><description>Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Many is not enough: Counting simulations to bootstrap the right way</title><link>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</link><pubDate>Mon, 24 Aug 2020 01:35:17 +0000</pubDate><guid>https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/</guid><description>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Advice for aspiring data scientists and other FAQs</title><link>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</link><pubDate>Sun, 15 Oct 2017 09:15:25 +0000</pubDate><guid>https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/</guid><description>Frequently asked questions by visitors to this site, especially around entering the data science field.</description></item><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Ask Why! Finding motives, causes, and purpose in data science</title><link>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</link><pubDate>Mon, 19 Sep 2016 21:28:44 +0000</pubDate><guid>https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/</guid><description>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp;amp; how of predictive modelling.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>You don’t need a data scientist (yet)</title><link>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</link><pubDate>Mon, 24 Aug 2015 08:25:30 +0000</pubDate><guid>https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/</guid><description>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>The long road to a lifestyle business</title><link>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</link><pubDate>Sun, 22 Mar 2015 09:43:47 +0000</pubDate><guid>https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/</guid><description>Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Data’s hierarchy of needs</title><link>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</link><pubDate>Sun, 17 Aug 2014 13:09:30 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/</guid><description>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp;amp; insights can only be as good as the underlying data.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/data-strategy/index.xml b/tags/data-strategy/index.xml
index a2ea16d1a..466570d5e 100644
--- a/tags/data-strategy/index.xml
+++ b/tags/data-strategy/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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AI definitions and high-level recommendations.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item></channel></rss>
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diff --git a/tags/data-visualisation/index.xml b/tags/data-visualisation/index.xml
index 5a9d26c91..e41c79e3c 100644
--- a/tags/data-visualisation/index.xml
+++ b/tags/data-visualisation/index.xml
@@ -1 +1 @@
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diff --git a/tags/deep-learning/index.xml b/tags/deep-learning/index.xml
index d7fc60631..4bdbb9ba2 100644
--- a/tags/deep-learning/index.xml
+++ b/tags/deep-learning/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Deep Learning on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/deep-learning/</link><description>Recent content in Deep Learning on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/deep-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item></channel></rss>
\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/devops/index.xml b/tags/devops/index.xml
index 27bd6a0a1..e360504b9 100644
--- a/tags/devops/index.xml
+++ b/tags/devops/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>DevOps on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/devops/</link><description>Recent content in DevOps on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Sun, 23 Jun 2024 08:52:50 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/devops/index.xml" rel="self" type="application/rss+xml"/><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>Using YubiKey for SSH access</title><link>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</link><pubDate>Sun, 23 Jul 2023 00:07:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</guid><description>Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>DevOps on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/devops/</link><description>Recent content in DevOps on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Sun, 23 Jun 2024 08:52:50 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/devops/index.xml" rel="self" type="application/rss+xml"/><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>Using YubiKey for SSH access</title><link>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</link><pubDate>Sun, 23 Jul 2023 00:07:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</guid><description>Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/divestment/index.xml b/tags/divestment/index.xml
index 51ad47c2d..bfa43e740 100644
--- a/tags/divestment/index.xml
+++ b/tags/divestment/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Divestment on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/divestment/</link><description>Recent content in Divestment on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/divestment/index.xml" rel="self" type="application/rss+xml"/><item><title>My divestment from fossil fuels</title><link>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</link><pubDate>Fri, 24 Apr 2015 00:19:36 +0000</pubDate><guid>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</guid><description>Recent choices I&amp;rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Divestment on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/divestment/</link><description>Recent content in Divestment on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/divestment/index.xml" rel="self" type="application/rss+xml"/><item><title>My divestment from fossil fuels</title><link>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</link><pubDate>Fri, 24 Apr 2015 00:19:36 +0000</pubDate><guid>https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/</guid><description>Recent choices I&amp;rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/economics/index.xml b/tags/economics/index.xml
index a5a02a0e0..0746e5dfe 100644
--- a/tags/economics/index.xml
+++ b/tags/economics/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Economics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/economics/</link><description>Recent content in Economics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/economics/index.xml" rel="self" type="application/rss+xml"/><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Economics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/economics/</link><description>Recent content in Economics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/economics/index.xml" rel="self" type="application/rss+xml"/><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/elasticsearch/index.xml b/tags/elasticsearch/index.xml
index faee52283..fcabe6fe8 100644
--- a/tags/elasticsearch/index.xml
+++ b/tags/elasticsearch/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Elasticsearch on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/elasticsearch/</link><description>Recent content in Elasticsearch on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/elasticsearch/index.xml" rel="self" type="application/rss+xml"/><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Elasticsearch on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/elasticsearch/</link><description>Recent content in Elasticsearch on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/elasticsearch/index.xml" rel="self" type="application/rss+xml"/><item><title>My 10-step path to becoming a remote data scientist with Automattic</title><link>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</link><pubDate>Sat, 29 Jul 2017 05:39:26 +0000</pubDate><guid>https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/</guid><description>I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/energy-markets/index.xml b/tags/energy-markets/index.xml
index c4b446082..678f8b681 100644
--- a/tags/energy-markets/index.xml
+++ b/tags/energy-markets/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Energy Markets on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/energy-markets/</link><description>Recent content in Energy Markets on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Thu, 14 Dec 2023 10:46:41 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/energy-markets/index.xml" rel="self" type="application/rss+xml"/><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Energy Markets on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/energy-markets/</link><description>Recent content in Energy Markets on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Thu, 14 Dec 2023 10:46:41 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/energy-markets/index.xml" rel="self" type="application/rss+xml"/><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/environment/index.xml b/tags/environment/index.xml
index 3ce829c9b..52d849989 100644
--- a/tags/environment/index.xml
+++ b/tags/environment/index.xml
@@ -1 +1 @@
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AI and my consulting focus: Helping climate &amp;amp; nature tech startups ship data-intensive solutions.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>New decade, new tagline: Data &amp; AI for Impact</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</link><pubDate>Fri, 19 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; 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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/ethics/index.xml b/tags/ethics/index.xml
index 8589dd1ff..9e1dc5e23 100644
--- a/tags/ethics/index.xml
+++ b/tags/ethics/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/facebook/index.xml b/tags/facebook/index.xml
index d78b01795..8169103bb 100644
--- a/tags/facebook/index.xml
+++ b/tags/facebook/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/fast.ai/index.xml b/tags/fast.ai/index.xml
index 24fe3c688..1084c9150 100644
--- a/tags/fast.ai/index.xml
+++ b/tags/fast.ai/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/fossil-fuels/index.xml b/tags/fossil-fuels/index.xml
index 94fef3169..039613360 100644
--- a/tags/fossil-fuels/index.xml
+++ b/tags/fossil-fuels/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/frequently-asked-questions/index.xml b/tags/frequently-asked-questions/index.xml
index 7462a2f7b..fc3b478b8 100644
--- a/tags/frequently-asked-questions/index.xml
+++ b/tags/frequently-asked-questions/index.xml
@@ -1 +1 @@
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diff --git a/tags/futurism/index.xml b/tags/futurism/index.xml
index bdd5c4688..279b4c6c3 100644
--- a/tags/futurism/index.xml
+++ b/tags/futurism/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/github/index.xml b/tags/github/index.xml
index 89d98aec0..158cf0ad9 100644
--- a/tags/github/index.xml
+++ b/tags/github/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/gradient-boosting/index.xml b/tags/gradient-boosting/index.xml
index 30300b52d..57e8902d2 100644
--- a/tags/gradient-boosting/index.xml
+++ b/tags/gradient-boosting/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/hackers/index.xml b/tags/hackers/index.xml
index d7ae5a0ee..ca0654e53 100644
--- a/tags/hackers/index.xml
+++ b/tags/hackers/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/health/index.xml b/tags/health/index.xml
index e1d7b1b37..cae7b03d8 100644
--- a/tags/health/index.xml
+++ b/tags/health/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/hugo/index.xml b/tags/hugo/index.xml
index 464627d10..8152e1627 100644
--- a/tags/hugo/index.xml
+++ b/tags/hugo/index.xml
@@ -1 +1 @@
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diff --git a/tags/index.xml b/tags/index.xml
index 46e86597e..0d6a27d7e 100644
--- a/tags/index.xml
+++ b/tags/index.xml
@@ -1 +1 @@
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+0000</pubDate><guid>https://yanirseroussi.com/tags/kaggle/</guid><description/></item><item><title>MongoDB</title><link>https://yanirseroussi.com/tags/mongodb/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/tags/mongodb/</guid><description/></item><item><title>Health</title><link>https://yanirseroussi.com/tags/health/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/tags/health/</guid><description/></item><item><title>Nutrition</title><link>https://yanirseroussi.com/tags/nutrition/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/tags/nutrition/</guid><description/></item><item><title>Nutritionism</title><link>https://yanirseroussi.com/tags/nutritionism/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/tags/nutritionism/</guid><description/></item><item><title>Recommender 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+0000</pubDate><guid>https://yanirseroussi.com/tags/fossil-fuels/</guid><description/></item><item><title>Gradient Boosting</title><link>https://yanirseroussi.com/tags/gradient-boosting/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/tags/gradient-boosting/</guid><description/></item><item><title>Kaggle Competition</title><link>https://yanirseroussi.com/tags/kaggle-competition/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/tags/kaggle-competition/</guid><description/></item><item><title>PhantomJS</title><link>https://yanirseroussi.com/tags/phantomjs/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/tags/phantomjs/</guid><description/></item><item><title>Scikit-Learn</title><link>https://yanirseroussi.com/tags/scikit-learn/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/tags/scikit-learn/</guid><description/></item><item><title>Traction Book</title><link>https://yanirseroussi.com/tags/traction-book/</link><pubDate>Mon, 15 Dec 2014 04:25:25 +0000</pubDate><guid>https://yanirseroussi.com/tags/traction-book/</guid><description/></item><item><title>Price Forecasting</title><link>https://yanirseroussi.com/tags/price-forecasting/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/tags/price-forecasting/</guid><description/></item><item><title>Music</title><link>https://yanirseroussi.com/tags/music/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/tags/music/</guid><description/></item><item><title>Multi-Label Classification</title><link>https://yanirseroussi.com/tags/multi-label-classification/</link><pubDate>Tue, 07 Oct 2014 03:21:35 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diff --git a/tags/javascript/index.xml b/tags/javascript/index.xml
index f4e060406..6741f139e 100644
--- a/tags/javascript/index.xml
+++ b/tags/javascript/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>JavaScript on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/javascript/</link><description>Recent content in JavaScript on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/javascript/index.xml" rel="self" type="application/rss+xml"/><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>JavaScript on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/javascript/</link><description>Recent content in JavaScript on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/javascript/index.xml" rel="self" type="application/rss+xml"/><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item></channel></rss>
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diff --git a/tags/kaggle-beginners/index.xml b/tags/kaggle-beginners/index.xml
index 98440f6e6..2c2385b67 100644
--- a/tags/kaggle-beginners/index.xml
+++ b/tags/kaggle-beginners/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Kaggle Beginners on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/kaggle-beginners/</link><description>Recent content in Kaggle Beginners on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Thu, 06 Jul 2023 09:28:02 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/kaggle-beginners/index.xml" rel="self" type="application/rss+xml"/><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Kaggle Beginners on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/kaggle-beginners/</link><description>Recent content in Kaggle Beginners on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Thu, 06 Jul 2023 09:28:02 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/kaggle-beginners/index.xml" rel="self" type="application/rss+xml"/><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/kaggle-competition/index.xml b/tags/kaggle-competition/index.xml
index 6a23900b9..5c1129a8f 100644
--- a/tags/kaggle-competition/index.xml
+++ b/tags/kaggle-competition/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Kaggle Competition on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/kaggle-competition/</link><description>Recent content in Kaggle Competition on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/kaggle-competition/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Kaggle Competition on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/kaggle-competition/</link><description>Recent content in Kaggle Competition on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/kaggle-competition/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/kaggle/index.xml b/tags/kaggle/index.xml
index c2fb28a1b..8c517dcb6 100644
--- a/tags/kaggle/index.xml
+++ b/tags/kaggle/index.xml
@@ -1 +1 @@
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Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Kaggle on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/kaggle/</link><description>Recent content in Kaggle on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/kaggle/index.xml" rel="self" type="application/rss+xml"/><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item><item><title>Kaggle beginner tips</title><link>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</link><pubDate>Sun, 19 Jan 2014 10:34:28 +0000</pubDate><guid>https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/</guid><description>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/linkedin/index.xml b/tags/linkedin/index.xml
index 95e542195..51d125ec4 100644
--- a/tags/linkedin/index.xml
+++ b/tags/linkedin/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>LinkedIn on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/linkedin/</link><description>Recent content in LinkedIn on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 23 Sep 2024 16:28:37 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/linkedin/index.xml" rel="self" type="application/rss+xml"/><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>LinkedIn on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/linkedin/</link><description>Recent content in LinkedIn on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 23 Sep 2024 16:28:37 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/linkedin/index.xml" rel="self" type="application/rss+xml"/><item><title>In praise of inconsistency: Ditching weekly posts</title><link>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</link><pubDate>Mon, 23 Sep 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/</guid><description>On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.</description></item><item><title>LinkedIn is a teachable skill</title><link>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</link><pubDate>Thu, 11 Apr 2024 01:45:25 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/</guid><description>An high-level overview of things I learned from Justin Welsh&amp;rsquo;s LinkedIn Operating System course.</description></item><item><title>This holiday season, give me real insights</title><link>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</link><pubDate>Tue, 08 Dec 2015 06:57:25 +0000</pubDate><guid>https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/</guid><description>Some companies present raw data or information as &amp;ldquo;insights&amp;rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/machine-intelligence/index.xml b/tags/machine-intelligence/index.xml
index 5ea6c51af..385f1b672 100644
--- a/tags/machine-intelligence/index.xml
+++ b/tags/machine-intelligence/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Machine Intelligence on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/machine-intelligence/</link><description>Recent content in Machine Intelligence on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/machine-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Machine Intelligence on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/machine-intelligence/</link><description>Recent content in Machine Intelligence on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/machine-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>The rise of greedy robots</title><link>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</link><pubDate>Sun, 20 Mar 2016 20:33:43 +0000</pubDate><guid>https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/</guid><description>Is artificial/machine intelligence a future threat? I argue that it&amp;rsquo;s already here, with greedy robots already dominating our lives.</description></item></channel></rss>
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diff --git a/tags/machine-learning/index.xml b/tags/machine-learning/index.xml
index 3de567673..22ffaf6bc 100644
--- a/tags/machine-learning/index.xml
+++ b/tags/machine-learning/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Machine Learning on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/machine-learning/</link><description>Recent content in Machine Learning on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 29 Jul 2024 16:55:58 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Machine Learning on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/machine-learning/</link><description>Recent content in Machine Learning on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 29 Jul 2024 16:55:58 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>AI/ML lifecycle models versus real-world mess</title><link>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</link><pubDate>Mon, 29 Jul 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/</guid><description>The real world of AI/ML doesn&amp;rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>Dealing with endless data changes</title><link>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</link><pubDate>Sat, 22 Jun 2024 22:50:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/</guid><description>Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>AI does not obviate the need for testing and observability</title><link>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</link><pubDate>Mon, 15 Apr 2024 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/</guid><description>It&amp;rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.</description></item><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Questions to consider when using AI for PDF data extraction</title><link>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/</guid><description>Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&amp;rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/marine-science/index.xml b/tags/marine-science/index.xml
index 9fdbc7958..d30b0aa03 100644
--- a/tags/marine-science/index.xml
+++ b/tags/marine-science/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Marine Science on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/marine-science/</link><description>Recent content in Marine Science on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 01 Apr 2024 17:02:44 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/marine-science/index.xml" rel="self" type="application/rss+xml"/><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>Our Blue Machine is changing, but we are not helpless</title><link>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</link><pubDate>Tue, 28 Nov 2023 06:40:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</guid><description>One of my many highlights from Helen Czerski&amp;rsquo;s Blue Machine.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item></channel></rss>
\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/marketing/index.xml b/tags/marketing/index.xml
index ea71fcd4b..af1ad2aaa 100644
--- a/tags/marketing/index.xml
+++ b/tags/marketing/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/mongodb/index.xml b/tags/mongodb/index.xml
index 58adb88d5..fc0438ff5 100644
--- a/tags/mongodb/index.xml
+++ b/tags/mongodb/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>MongoDB on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/mongodb/</link><description>Recent content in MongoDB on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/mongodb/index.xml" rel="self" type="application/rss+xml"/><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>MongoDB on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/mongodb/</link><description>Recent content in MongoDB on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/mongodb/index.xml" rel="self" type="application/rss+xml"/><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/multi-label-classification/index.xml b/tags/multi-label-classification/index.xml
index 01268c389..88e4528d9 100644
--- a/tags/multi-label-classification/index.xml
+++ b/tags/multi-label-classification/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Multi-Label Classification on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/multi-label-classification/</link><description>Recent content in Multi-Label Classification on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/multi-label-classification/index.xml" rel="self" type="application/rss+xml"/><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Multi-Label Classification on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/multi-label-classification/</link><description>Recent content in Multi-Label Classification on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/multi-label-classification/index.xml" rel="self" type="application/rss+xml"/><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/music-industry/index.xml b/tags/music-industry/index.xml
index 4a753d51a..866cc9329 100644
--- a/tags/music-industry/index.xml
+++ b/tags/music-industry/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Music Industry on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/music-industry/</link><description>Recent content in Music Industry on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/music-industry/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Music Industry on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/music-industry/</link><description>Recent content in Music Industry on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/music-industry/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/music/index.xml b/tags/music/index.xml
index 97d2fb55e..223fd5aa2 100644
--- a/tags/music/index.xml
+++ b/tags/music/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Music on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/music/</link><description>Recent content in Music on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/music/index.xml" rel="self" type="application/rss+xml"/><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Music on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/music/</link><description>Recent content in Music on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/music/index.xml" rel="self" type="application/rss+xml"/><item><title>BCRecommender Traction Update</title><link>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</link><pubDate>Wed, 05 Nov 2014 02:29:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/</guid><description>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/nutrition/index.xml b/tags/nutrition/index.xml
index 8921afb22..7578c51bd 100644
--- a/tags/nutrition/index.xml
+++ b/tags/nutrition/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Nutrition on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/nutrition/</link><description>Recent content in Nutrition on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/nutrition/index.xml" rel="self" type="application/rss+xml"/><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Nutrition on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/nutrition/</link><description>Recent content in Nutrition on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/nutrition/index.xml" rel="self" type="application/rss+xml"/><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/nutritionism/index.xml b/tags/nutritionism/index.xml
index be7ef1b3e..627a6fdb9 100644
--- a/tags/nutritionism/index.xml
+++ b/tags/nutritionism/index.xml
@@ -1 +1 @@
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\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Nutritionism on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/nutritionism/</link><description>Recent content in Nutritionism on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/nutritionism/index.xml" rel="self" type="application/rss+xml"/><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/orkestra/index.xml b/tags/orkestra/index.xml
index cbeb9c06f..415b4c900 100644
--- a/tags/orkestra/index.xml
+++ b/tags/orkestra/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Orkestra on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/orkestra/</link><description>Recent content in Orkestra on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/orkestra/index.xml" rel="self" type="application/rss+xml"/><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Orkestra on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/orkestra/</link><description>Recent content in Orkestra on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/orkestra/index.xml" rel="self" type="application/rss+xml"/><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/parse.com/index.xml b/tags/parse.com/index.xml
index 45092cad2..2ae740ab5 100644
--- a/tags/parse.com/index.xml
+++ b/tags/parse.com/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Parse.com on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/parse.com/</link><description>Recent content in Parse.com on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/parse.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Parse.com on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/parse.com/</link><description>Recent content in Parse.com on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/parse.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/personal/index.xml b/tags/personal/index.xml
index 596e8efb7..b52bff51c 100644
--- a/tags/personal/index.xml
+++ b/tags/personal/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/phantomjs/index.xml b/tags/phantomjs/index.xml
index 9d6d1c4ee..af0aa5aa4 100644
--- a/tags/phantomjs/index.xml
+++ b/tags/phantomjs/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/politics/index.xml b/tags/politics/index.xml
index 1cc8f7657..b0ae28b4b 100644
--- a/tags/politics/index.xml
+++ b/tags/politics/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Politics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/politics/</link><description>Recent content in Politics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/politics/index.xml" rel="self" type="application/rss+xml"/><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Politics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/politics/</link><description>Recent content in Politics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/politics/index.xml" rel="self" type="application/rss+xml"/><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/predictive-modelling/index.xml b/tags/predictive-modelling/index.xml
index b9a959e9b..a552dfbf5 100644
--- a/tags/predictive-modelling/index.xml
+++ b/tags/predictive-modelling/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Predictive Modelling on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/predictive-modelling/</link><description>Recent content in Predictive Modelling on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/predictive-modelling/index.xml" rel="self" type="application/rss+xml"/><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</title><link>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</link><pubDate>Sat, 14 May 2016 19:57:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/</guid><description>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&amp;rsquo;s Causality, Probability, and Time.</description></item><item><title>Why you should stop worrying about deep learning and deepen your understanding of causality instead</title><link>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</link><pubDate>Sun, 14 Feb 2016 11:04:11 +0000</pubDate><guid>https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/</guid><description>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item><item><title>The hardest parts of data science</title><link>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</link><pubDate>Mon, 23 Nov 2015 04:14:21 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/</guid><description>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</description></item><item><title>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</title><link>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</link><pubDate>Mon, 19 Oct 2015 00:02:32 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/</guid><description>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>Learning about deep learning through album cover classification</title><link>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</link><pubDate>Mon, 06 Jul 2015 22:21:42 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/</guid><description>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</description></item><item><title>Hopping on the deep learning bandwagon</title><link>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</link><pubDate>Sat, 06 Jun 2015 05:00:22 +0000</pubDate><guid>https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/</guid><description>To become proficient at solving data science problems, you need to get your hands dirty. 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(Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Predictive Modelling on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/predictive-modelling/</link><description>Recent content in Predictive Modelling on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/predictive-modelling/index.xml" rel="self" type="application/rss+xml"/><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. 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Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item><item><title>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</title><link>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</link><pubDate>Wed, 11 Feb 2015 06:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/</guid><description>My team&amp;rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</description></item><item><title>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</title><link>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</link><pubDate>Thu, 29 Jan 2015 10:37:39 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/</guid><description>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</description></item><item><title>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</title><link>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</link><pubDate>Mon, 29 Dec 2014 02:30:06 +0000</pubDate><guid>https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/</guid><description>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</description></item><item><title>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</title><link>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</link><pubDate>Wed, 19 Nov 2014 09:17:34 +0000</pubDate><guid>https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/</guid><description>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</description></item><item><title>Greek Media Monitoring Kaggle competition: My approach</title><link>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</link><pubDate>Tue, 07 Oct 2014 03:21:35 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/</guid><description>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>How to (almost) win Kaggle competitions</title><link>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</link><pubDate>Sun, 24 Aug 2014 12:40:53 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/</guid><description>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</description></item><item><title>Kaggle competition tips and summaries</title><link>https://yanirseroussi.com/kaggle/</link><pubDate>Sat, 05 Apr 2014 23:46:10 +0000</pubDate><guid>https://yanirseroussi.com/kaggle/</guid><description>Pointers to all my Kaggle advice posts and competition summaries.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/price-forecasting/index.xml b/tags/price-forecasting/index.xml
index f6f59763f..1adb1d36f 100644
--- a/tags/price-forecasting/index.xml
+++ b/tags/price-forecasting/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/productivity/index.xml b/tags/productivity/index.xml
index 27d2a58b2..dc5c2d7ad 100644
--- a/tags/productivity/index.xml
+++ b/tags/productivity/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/quotes/index.xml b/tags/quotes/index.xml
index 253d9cff6..b4054fa4c 100644
--- a/tags/quotes/index.xml
+++ b/tags/quotes/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/recommender-systems/index.xml b/tags/recommender-systems/index.xml
index 25ef57f31..799c62082 100644
--- a/tags/recommender-systems/index.xml
+++ b/tags/recommender-systems/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Recommender Systems on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/recommender-systems/</link><description>Recent content in Recommender Systems on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/recommender-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Recommender Systems on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/recommender-systems/</link><description>Recent content in Recommender Systems on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 16 Jan 2024 09:56:03 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/recommender-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>Applying the Traction Book’s Bullseye framework to BCRecommender</title><link>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</link><pubDate>Wed, 24 Sep 2014 04:57:39 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/</guid><description>Ranking 19 channels with the goal of getting traction for BCRecommender.</description></item><item><title>Bandcamp recommendation and discovery algorithms</title><link>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</link><pubDate>Fri, 19 Sep 2014 14:26:55 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/</guid><description>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item><item><title>Building a Bandcamp recommender system (part 1 – motivation)</title><link>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</link><pubDate>Sat, 30 Aug 2014 08:11:38 +0000</pubDate><guid>https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/</guid><description>My motivation behind building BCRecommender, a free recommendation &amp;amp; discovery service for Bandcamp music.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/reef-life-survey/index.xml b/tags/reef-life-survey/index.xml
index de9b9c879..9822b7fee 100644
--- a/tags/reef-life-survey/index.xml
+++ b/tags/reef-life-survey/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Reef Life Survey on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/reef-life-survey/</link><description>Recent content in Reef Life Survey on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 01 Apr 2024 17:02:44 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/reef-life-survey/index.xml" rel="self" type="application/rss+xml"/><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Email notifications on public GitHub commits</title><link>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</link><pubDate>Mon, 14 Aug 2023 05:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</guid><description>GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Reef Life Survey on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/reef-life-survey/</link><description>Recent content in Reef Life Survey on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 01 Apr 2024 17:02:44 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/reef-life-survey/index.xml" rel="self" type="application/rss+xml"/><item><title>Artificial intelligence, automation, and the art of counting fish</title><link>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</link><pubDate>Mon, 01 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/</guid><description>Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.</description></item><item><title>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</title><link>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</link><pubDate>Wed, 29 Nov 2023 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/</guid><description>Summarising the work Uri Seroussi and I did to improve Reef Life Survey&amp;rsquo;s Reef Species of the World app.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Email notifications on public GitHub commits</title><link>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</link><pubDate>Mon, 14 Aug 2023 05:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</guid><description>GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>The joys of offline data collection</title><link>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</link><pubDate>Sun, 24 Jan 2016 00:32:25 +0000</pubDate><guid>https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/</guid><description>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/remote-work/index.xml b/tags/remote-work/index.xml
index 884482a1c..1cb761cb3 100644
--- a/tags/remote-work/index.xml
+++ b/tags/remote-work/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Remote Work on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/remote-work/</link><description>Recent content in Remote Work on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/remote-work/index.xml" rel="self" type="application/rss+xml"/><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Remote Work on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/remote-work/</link><description>Recent content in Remote Work on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Tue, 20 Aug 2024 16:09:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/remote-work/index.xml" rel="self" type="application/rss+xml"/><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>The mission matters: Moving to climate tech as a data scientist</title><link>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</link><pubDate>Mon, 06 Jun 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/</guid><description>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>A day in the life of a remote data scientist</title><link>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</link><pubDate>Wed, 11 Dec 2019 22:06:19 +0000</pubDate><guid>https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/</guid><description>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</description></item><item><title>Reflections on remote data science work</title><link>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</link><pubDate>Sat, 03 Nov 2018 06:33:13 +0000</pubDate><guid>https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/</guid><description>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/science-communication/index.xml b/tags/science-communication/index.xml
index e2531e88c..23ad06eb8 100644
--- a/tags/science-communication/index.xml
+++ b/tags/science-communication/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/tags/scikit-learn/index.xml b/tags/scikit-learn/index.xml
index 12a983bfe..b8fe15a2b 100644
--- a/tags/scikit-learn/index.xml
+++ b/tags/scikit-learn/index.xml
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/tags/scuba-diving/index.xml b/tags/scuba-diving/index.xml
index 3362b44e5..4620dcd00 100644
--- a/tags/scuba-diving/index.xml
+++ b/tags/scuba-diving/index.xml
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/tags/search-engine-optimisation/index.xml b/tags/search-engine-optimisation/index.xml
index 4aedf8536..4b9fd2018 100644
--- a/tags/search-engine-optimisation/index.xml
+++ b/tags/search-engine-optimisation/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/security/index.xml b/tags/security/index.xml
index cf39c34f4..a84c48f96 100644
--- a/tags/security/index.xml
+++ b/tags/security/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/sentiment-analysis/index.xml b/tags/sentiment-analysis/index.xml
index 3a81836ea..2c462dd00 100644
--- a/tags/sentiment-analysis/index.xml
+++ b/tags/sentiment-analysis/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/software-engineering/index.xml b/tags/software-engineering/index.xml
index 04d55792a..5d6aea3e7 100644
--- a/tags/software-engineering/index.xml
+++ b/tags/software-engineering/index.xml
@@ -1 +1 @@
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Self-hosting is a better solution.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. 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\ No newline at end of file
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best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&amp;rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>My work with Automattic</title><link>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</link><pubDate>Thu, 07 Oct 2021 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/10/07/my-work-with-automattic/</guid><description>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&amp;rsquo;ve done with the company.</description></item><item><title>Software commodities are eating interesting data science work</title><link>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</link><pubDate>Sat, 11 Jan 2020 09:22:35 +0000</pubDate><guid>https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/</guid><description>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</description></item><item><title>Bootstrapping the right way?</title><link>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</link><pubDate>Sun, 06 Oct 2019 06:48:07 +0000</pubDate><guid>https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/</guid><description>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</description></item><item><title>Hackers beware: Bootstrap sampling may be harmful</title><link>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</link><pubDate>Mon, 07 Jan 2019 21:07:56 +0000</pubDate><guid>https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/</guid><description>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&amp;rsquo;t that simple.</description></item><item><title>Exploring and visualising Reef Life Survey data</title><link>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</link><pubDate>Sat, 03 Jun 2017 00:49:05 +0000</pubDate><guid>https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/</guid><description>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Migrating a simple web application from MongoDB to Elasticsearch</title><link>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</link><pubDate>Wed, 04 Nov 2015 03:53:18 +0000</pubDate><guid>https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/</guid><description>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</description></item><item><title>The wonderful world of recommender systems</title><link>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</link><pubDate>Fri, 02 Oct 2015 05:25:57 +0000</pubDate><guid>https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/</guid><description>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</description></item><item><title>Goodbye, Parse.com</title><link>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</link><pubDate>Fri, 31 Jul 2015 03:29:50 +0000</pubDate><guid>https://yanirseroussi.com/2015/07/31/goodbye-parse-com/</guid><description>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</description></item><item><title>First steps in data science: author-aware sentiment analysis</title><link>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</link><pubDate>Sat, 02 May 2015 08:31:10 +0000</pubDate><guid>https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/</guid><description>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</description></item><item><title>Automating Parse.com bulk data imports</title><link>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</link><pubDate>Thu, 15 Jan 2015 04:41:16 +0000</pubDate><guid>https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/</guid><description>A script for importing data into the Parse backend-as-a-service.</description></item><item><title>What is data science?</title><link>https://yanirseroussi.com/2014/10/23/what-is-data-science/</link><pubDate>Thu, 23 Oct 2014 03:22:08 +0000</pubDate><guid>https://yanirseroussi.com/2014/10/23/what-is-data-science/</guid><description>Data science has been a hot term in the past few years. Still, there isn&amp;rsquo;t a single definition of the field. This post discusses my favourite definition.</description></item><item><title>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</title><link>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</link><pubDate>Sun, 07 Sep 2014 10:48:44 +0000</pubDate><guid>https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/</guid><description>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</description></item></channel></rss>
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diff --git a/tags/split-testing/index.xml b/tags/split-testing/index.xml
index c4208f76d..59ef6657e 100644
--- a/tags/split-testing/index.xml
+++ b/tags/split-testing/index.xml
@@ -1 +1 @@
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\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Split Testing on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/split-testing/</link><description>Recent content in Split Testing on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Wed, 21 Feb 2024 11:52:55 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/split-testing/index.xml" rel="self" type="application/rss+xml"/><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</description></item><item><title>Some highlights from 2020</title><link>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</link><pubDate>Mon, 05 Apr 2021 06:41:48 +0000</pubDate><guid>https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/</guid><description>Sharing remote teamwork insights, my climate &amp;amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&amp;rsquo;s Experimentation Platform.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item></channel></rss>
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diff --git a/tags/startups/index.xml b/tags/startups/index.xml
index 1b8621c71..09c00fac3 100644
--- a/tags/startups/index.xml
+++ b/tags/startups/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Startups on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/startups/</link><description>Recent content in Startups on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 18 Nov 2024 11:12:27 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/startups/index.xml" rel="self" type="application/rss+xml"/><item><title>Don't build AI, build with AI</title><link>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</link><pubDate>Mon, 18 Nov 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/</guid><description>Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>Giving up on the minimum viable data stack</title><link>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</link><pubDate>Mon, 19 Aug 2024 03:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</guid><description>Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.</description></item><item><title>Your first Data-to-AI hire: Run a lovable process</title><link>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</link><pubDate>Mon, 22 Jul 2024 01:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/</guid><description>Video and key points from the second part of a webinar on a startup&amp;rsquo;s first data hire, covering tips for defining the role and running the process.</description></item><item><title>Learn about Dataland to avoid expensive hiring mistakes</title><link>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</link><pubDate>Mon, 15 Jul 2024 05:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/</guid><description>Video and key points from the first part of a webinar on a startup&amp;rsquo;s first data hire, covering data &amp;amp; AI definitions and high-level recommendations.</description></item><item><title>Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini</title><link>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</link><pubDate>Mon, 08 Jul 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/</guid><description>Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.</description></item><item><title>Stay alert! Security is everyone's responsibility</title><link>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</link><pubDate>Mon, 01 Jul 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</guid><description>Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item></channel></rss>
\ No newline at end of file
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For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.</description></item><item><title>Juggling delivery, admin, and leads: Monthly biz recap</title><link>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</link><pubDate>Mon, 02 Sep 2024 02:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/</guid><description>Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp;amp; politics.</description></item><item><title>Giving up on the minimum viable data stack</title><link>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</link><pubDate>Mon, 19 Aug 2024 03:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/</guid><description>Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.</description></item><item><title>First year lessons from a solo expertise biz in Data &amp; AI</title><link>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</link><pubDate>Mon, 05 Aug 2024 08:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/</guid><description>Reflections on building a solo expertise business in Data &amp;amp; AI, focusing on climate tech startups. 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Security is everyone's responsibility</title><link>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</link><pubDate>Mon, 01 Jul 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/</guid><description>Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.</description></item><item><title>Five team-building mistakes, according to Patty McCord</title><link>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/</guid><description>Takeaways from an interview with Patty McCord on The Startup Podcast.</description></item><item><title>Is your tech stack ready for data-intensive applications?</title><link>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</link><pubDate>Mon, 24 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/</guid><description>Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.</description></item><item><title>AI ain't gonna save you from bad data</title><link>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</link><pubDate>Mon, 17 Jun 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/</guid><description>Since we&amp;rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.</description></item><item><title>Startup data health starts with healthy event tracking</title><link>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</link><pubDate>Mon, 10 Jun 2024 04:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/</guid><description>Expanding on the startup health check question of tracking Kukuyeva&amp;rsquo;s five business aspects as wide events.</description></item><item><title>How to avoid startups with poor development processes</title><link>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</link><pubDate>Mon, 03 Jun 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/</guid><description>Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.</description></item><item><title>Plumbing, Decisions, and Automation: De-hyping Data &amp; AI</title><link>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</link><pubDate>Mon, 27 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/</guid><description>Three essential questions to understand where an organisation stands when it comes to Data &amp;amp; AI (with zero hype).</description></item><item><title>Question startup culture before accepting a data-to-AI role</title><link>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</link><pubDate>Mon, 20 May 2024 02:25:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/</guid><description>Eight questions that prospective data-to-AI employees should ask about a startup&amp;rsquo;s work and data culture.</description></item><item><title>Probing the People aspects of an early-stage startup</title><link>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</link><pubDate>Mon, 13 May 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/</guid><description>Ten questions that prospective employees should ask about a startup&amp;rsquo;s team, especially for data-centric roles.</description></item><item><title>Business questions to ask before taking a startup data role</title><link>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</link><pubDate>Mon, 06 May 2024 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/</guid><description>Fourteen questions that prospective employees should ask about a startup&amp;rsquo;s business model and product, especially for data-focused roles.</description></item><item><title>Mentorship and the art of actionable advice</title><link>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</link><pubDate>Mon, 29 Apr 2024 06:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/</guid><description>Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.</description></item><item><title>Assessing a startup's data-to-AI health</title><link>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</link><pubDate>Mon, 22 Apr 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/</guid><description>Reviewing the areas that should be assessed to determine a startup&amp;rsquo;s opportunities and challenges on the data/AI/ML front.</description></item><item><title>My experience as a Data Tech Lead with Work on Climate</title><link>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</link><pubDate>Mon, 08 Apr 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/</guid><description>The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp;amp; fractional work.</description></item><item><title>Two types of startup data problems</title><link>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</link><pubDate>Mon, 04 Mar 2024 02:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/</guid><description>Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&amp;rsquo;re likely to face.</description></item><item><title>Avoiding AI complexity: First, write no code</title><link>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</link><pubDate>Mon, 26 Feb 2024 01:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/</guid><description>Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.</description></item><item><title>Building your startup's minimum viable data stack</title><link>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</link><pubDate>Mon, 19 Feb 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/</guid><description>First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.</description></item><item><title>Substance over titles: Your first data hire may be a data scientist</title><link>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</link><pubDate>Mon, 05 Feb 2024 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/</guid><description>Advice for hiring a startup&amp;rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.</description></item></channel></rss>
\ No newline at end of file
diff --git a/tags/statistics/index.xml b/tags/statistics/index.xml
index 803c705e0..97e4ee35e 100644
--- a/tags/statistics/index.xml
+++ b/tags/statistics/index.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Statistics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/statistics/</link><description>Recent content in Statistics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.138.0</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 06 May 2024 16:35:22 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/statistics/index.xml" rel="self" type="application/rss+xml"/><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. 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But things aren&amp;rsquo;t that simple.</description></item><item><title>The most practical causal inference book I’ve read (is still a draft)</title><link>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</link><pubDate>Mon, 24 Dec 2018 02:37:50 +0000</pubDate><guid>https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/</guid><description>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. 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Here&amp;rsquo;s what I learned about doing it well.</description></item><item><title>If you don’t pay attention, data can drive you off a cliff</title><link>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</link><pubDate>Sun, 21 Aug 2016 21:34:17 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/</guid><description>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</description></item><item><title>Is Data Scientist a useless job title?</title><link>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</link><pubDate>Thu, 04 Aug 2016 22:26:03 +0000</pubDate><guid>https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/</guid><description>It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.</description></item><item><title>Making Bayesian A/B testing more accessible</title><link>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</link><pubDate>Sun, 19 Jun 2016 10:32:15 +0000</pubDate><guid>https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/</guid><description>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</description></item></channel></rss>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Statistics on Yanir Seroussi | Data &amp; AI for Startup Impact</title><link>https://yanirseroussi.com/tags/statistics/</link><description>Recent content in Statistics on Yanir Seroussi | Data &amp; AI for Startup Impact</description><generator>Hugo -- 0.139.2</generator><language>en-au</language><copyright>Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise</copyright><lastBuildDate>Mon, 06 May 2024 16:35:22 +1000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/statistics/index.xml" rel="self" type="application/rss+xml"/><item><title>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</title><link>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</link><pubDate>Fri, 14 Jan 2022 00:05:40 +0000</pubDate><guid>https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/</guid><description>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. 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It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>Customer lifetime value and the proliferation of misinformation on the internet</title><link>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</link><pubDate>Sun, 08 Jan 2017 20:02:30 +0000</pubDate><guid>https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/</guid><description>There&amp;rsquo;s a lot of misleading content on the estimation of customer lifetime value. 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\ No newline at end of file
diff --git a/tags/sustainability/index.xml b/tags/sustainability/index.xml
index 67cc65658..6fad8fe7a 100644
--- a/tags/sustainability/index.xml
+++ b/tags/sustainability/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/traction-book/index.xml b/tags/traction-book/index.xml
index b87008009..56ee223fc 100644
--- a/tags/traction-book/index.xml
+++ b/tags/traction-book/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/video/index.xml b/tags/video/index.xml
index ad02b718f..225d7220b 100644
--- a/tags/video/index.xml
+++ b/tags/video/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/web-development/index.xml b/tags/web-development/index.xml
index d74c44ca2..1c7acbb0b 100644
--- a/tags/web-development/index.xml
+++ b/tags/web-development/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/tags/wordpress/index.xml b/tags/wordpress/index.xml
index 0df538e86..482ce8405 100644
--- a/tags/wordpress/index.xml
+++ b/tags/wordpress/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/til/index.xml b/til/index.xml
index 2e83befd2..028da484c 100644
--- a/til/index.xml
+++ b/til/index.xml
@@ -1 +1 @@
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\ No newline at end of file
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generalists</title><link>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</link><pubDate>Tue, 09 Jan 2024 03:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/</guid><description>When focusing on a market segment defined by personal beliefs, it&amp;rsquo;s often fine to position yourself as a generalist in your craft.</description></item><item><title>The power of parasocial relationships</title><link>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</link><pubDate>Mon, 08 Jan 2024 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/</guid><description>Repeated exposure to media personas creates relationships that help justify premium fees.</description></item><item><title>Positioning is a common problem for data scientists</title><link>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</link><pubDate>Mon, 18 Dec 2023 00:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/</guid><description>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</description></item><item><title>Transfer learning applies to energy market bidding</title><link>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</link><pubDate>Thu, 14 Dec 2023 00:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/</guid><description>An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.</description></item><item><title>Our Blue Machine is changing, but we are not helpless</title><link>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</link><pubDate>Tue, 28 Nov 2023 06:40:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/</guid><description>One of my many highlights from Helen Czerski&amp;rsquo;s Blue Machine.</description></item><item><title>You don't need a proprietary API for static maps</title><link>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</link><pubDate>Tue, 21 Nov 2023 06:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/</guid><description>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</description></item><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &amp;lsquo;artificial intelligence&amp;rsquo; with &amp;lsquo;automation&amp;rsquo; is a useful trick for cutting through the hype.</description></item><item><title>The lines between solo consulting and product building are blurry</title><link>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</link><pubDate>Mon, 25 Sep 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/</guid><description>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>The Minimalist Entrepreneur is too prescriptive for me</title><link>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</link><pubDate>Mon, 21 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/</guid><description>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&amp;rsquo;s experience.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</title><link>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</link><pubDate>Thu, 17 Aug 2023 07:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/</guid><description>A summary of the second chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</title><link>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</link><pubDate>Wed, 16 Aug 2023 05:45:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/</guid><description>A summary of the first chapter of Rob Walling&amp;rsquo;s Start Small, Stay Small, along with my thoughts &amp;amp; reflections.</description></item><item><title>Email notifications on public GitHub commits</title><link>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</link><pubDate>Mon, 14 Aug 2023 05:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/</guid><description>GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.</description></item><item><title>The rule of thirds can probably be ignored</title><link>https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/</link><pubDate>Fri, 11 Aug 2023 03:15:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/</guid><description>Turns out that the rule of thirds for composing visuals may not be that important.</description></item><item><title>Using YubiKey for SSH access</title><link>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</link><pubDate>Sun, 23 Jul 2023 00:07:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/</guid><description>Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.</description></item><item><title>Making a TIL section with Hugo and PaperMod</title><link>https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/</link><pubDate>Mon, 17 Jul 2023 00:06:15 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/</guid><description>How I added a Today I Learned section to my Hugo site with the PaperMod theme.</description></item><item><title>You can't save time</title><link>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</link><pubDate>Tue, 11 Jul 2023 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/</guid><description>Time can be spent doing different activities, but it can&amp;rsquo;t be stored and saved for later.</description></item></channel></rss>
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