From 9f4c4a23a45100c113d8a5a0db9f60f47c1aeefa Mon Sep 17 00:00:00 2001
From: yanirs <yanirs@users.noreply.github.com>
Date: Fri, 19 Jan 2024 00:03:27 +0000
Subject: [PATCH] deploy: 36adeabdafba95746cd0d317cd2af836709934dc

---
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 ...511f2a4db2f0_584027_1080x0_resize_box_3.png | Bin 0 -> 177567 bytes
 ...511f2a4db2f0_584027_1500x0_resize_box_3.png | Bin 0 -> 286211 bytes
 ...8511f2a4db2f0_584027_360x0_resize_box_3.png | Bin 0 -> 36957 bytes
 ...8511f2a4db2f0_584027_480x0_resize_box_3.png | Bin 0 -> 56014 bytes
 ...8511f2a4db2f0_584027_720x0_resize_box_3.png | Bin 0 -> 99062 bytes
 .../index.html                                 |   7 +++++++
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 tags/index.html                                |   2 +-
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 23 files changed, 23 insertions(+), 16 deletions(-)
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diff --git a/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo.png b/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo.png
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diff --git a/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/index.html b/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/index.html
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+<!doctype html><html lang=en dir=auto><head><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>New decade, new tagline: Data & AI for Nature | Yanir Seroussi | Data & AI for Nature</title>
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In most of the following years, my tagline was Data Science and Beyond. While the beyond bit gave me an excuse to write about various topics, most posts were indeed around data science – an area that also became broader (arguably to the point of uselessness).\nWhile I’ve never abandoned my software engineering roots, the broadening of data science means that many data scientists can no longer be assumed to possess solid engineering skills. Therefore, I changed the tagline last year to Engineering Data Science \u0026 More. However, this didn’t feel quite right – some people now have an adverse reaction to any mention of data science, after negative experiences of failed projects.\nRecently, I switched the tagline to be both broader and narrower: Data \u0026 AI for Nature. With this change, I’m also aiming to revitalise my approach to publishing and audience engagement.\nWhat does this mean in terms of focus areas?\nStill publish technical and high-level posts on Data \u0026 AI. Aim to highlight nature-positive applications of Data \u0026 AI tech. More importantly, I’d like to improve some things around posting and engagement:\nProduce content that’s useful for those who find the tagline compelling – especially people working on startups and scaleups that are using Data \u0026 AI to make a positive impact on nature (i.e., the biosphere and our shared environment). Post more frequently – aiming for weekly from February onwards. Use the mailing list to email full posts, and as a two-way avenue for comments and conversations (as opposed to public comments, which are now closed). With more frequent posts, what I publish should be quicker to produce and consume. This means I may lean more heavily on showcasing other people’s work – possibly through interviews. Other than that, here are some rough post ideas for the immediate future:\nSeries on a minimum viable data stack Best practices and opinions on a startup’s first data hire Answering questions people ask on the future of data science My experience as a Data Tech Lead with Work on Climate Nature isn’t only Green: De-politicising nature positivity Use cases for ChatGPT and other LLMs Catching up on different aspects of LLMs / AI tech Opportunities for Data \u0026 AI professionals in the energy transition Historically, for each post I’ve published, about 5-10 ideas went unpublished. I hope that by aiming for shorter and lower-friction publishing, more posts will see the light of day.\nMy long-term aims are to learn by publishing, do more nature-positive Data \u0026 AI work myself, and help others in the space. Rather than sinking into doom and gloom, I’d like to focus on positive applications of Data \u0026 AI tech that make our world better (in the spirit of publications like Volts).\nCall to action:\nIf this all sounds uninteresting to you, you’re welcome to unsubscribe – no hard feelings. If you know people I should talk to and feature in future posts, I’d appreciate an intro. If you have any suggestions, please send them by replying to any of my emails, or contact me through other means – I’d love to hear from you. ","wordCount":"539","inLanguage":"en","image":"https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo.png","datePublished":"2024-01-18T00:00:00Z","dateModified":"2024-01-19T10:01:48+10:00","author":{"@type":"Person","name":"Yanir Seroussi"},"mainEntityOfPage":{"@type":"WebPage","@id":"https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/"},"publisher":{"@type":"Organization","name":"Yanir Seroussi | Data \u0026 AI for Nature","logo":{"@type":"ImageObject","url":"https://yanirseroussi.com/favicon.ico"}}}</script></head><body 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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" 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 xmlns="http://www.w3.org/2000/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=Posts><span>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><article class=post-single><header class=post-header><h1 class="post-title entry-hint-parent">New decade, new tagline: Data & AI for Nature</h1><div class=post-meta><span title='2024-01-18 00:00:00 +0000 UTC'>January 18, 2024</span></div></header><figure class=entry-cover><img loading=eager srcset="https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo_hu741064c3ebd484b205a8511f2a4db2f0_584027_360x0_resize_box_3.png 360w ,https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo_hu741064c3ebd484b205a8511f2a4db2f0_584027_480x0_resize_box_3.png 480w ,https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo_hu741064c3ebd484b205a8511f2a4db2f0_584027_720x0_resize_box_3.png 720w ,https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo_hu741064c3ebd484b205a8511f2a4db2f0_584027_1080x0_resize_box_3.png 1080w ,https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo_hu741064c3ebd484b205a8511f2a4db2f0_584027_1500x0_resize_box_3.png 1500w ,https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo.png 2280w" sizes="(min-width: 768px) 720px, 100vw" src=https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo.png alt="Logo of Yanir Seroussi's consulting services, depicting a wave and an up-and-to-the-right graph." width=2280 height=1140></figure><div class=post-content><p>Exactly a decade ago, on 19th January 2014, I published my first post on this website (<a href=https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/>Kaggle beginner tips</a>). In most of the following years, my tagline was <em>Data Science and Beyond</em>. While the <em>beyond</em> bit gave me an excuse to write about various topics, <a href=https://yanirseroussi.com/tags/data-science/>most posts were indeed around data science</a> – an area that <a href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/>also became broader</a> (arguably to <a href=https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/>the point of uselessness</a>).</p><p>While I&rsquo;ve never abandoned my software engineering roots, the broadening of data science means that <a href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/>many data scientists can no longer be assumed to possess solid engineering skills</a>. Therefore, I changed the tagline last year to <em>Engineering Data Science & More</em>. However, this didn&rsquo;t feel quite right – some people now have an adverse reaction to any mention of data science, after negative experiences of failed projects.</p><p>Recently, <strong>I switched the tagline to be both broader and narrower: <em>Data & AI for Nature</em>.</strong> With this change, <strong>I&rsquo;m also aiming to revitalise my approach to publishing and audience engagement.</strong></p><p>What does this mean in terms of focus areas?</p><ul><li>Still publish technical and high-level posts on Data & AI.</li><li>Aim to highlight nature-positive applications of Data & AI tech.</li></ul><p>More importantly, I&rsquo;d like to improve some things around posting and engagement:</p><ul><li>Produce content that&rsquo;s useful for those who find the tagline compelling – especially people working on startups and scaleups that are using Data & AI to make a positive impact on nature (i.e., the biosphere and our shared environment).</li><li>Post more frequently – aiming for weekly from February onwards.</li><li>Use the mailing list to email full posts, and as a two-way avenue for comments and conversations (as opposed to public comments, which are now closed).</li></ul><p>With more frequent posts, what I publish should be quicker to produce and consume. This means I may lean more heavily on showcasing other people&rsquo;s work – possibly through interviews. Other than that, here are some rough post ideas for the immediate future:</p><ul><li>Series on a minimum viable data stack</li><li>Best practices and opinions on a startup&rsquo;s first data hire</li><li>Answering questions people ask on the future of data science</li><li>My experience as a Data Tech Lead with Work on Climate</li><li>Nature isn&rsquo;t only Green: De-politicising nature positivity</li><li>Use cases for ChatGPT and other LLMs</li><li>Catching up on different aspects of LLMs / AI tech</li><li>Opportunities for Data & AI professionals in the energy transition</li></ul><p>Historically, for each post I&rsquo;ve published, about 5-10 ideas went unpublished. I hope that by aiming for shorter and lower-friction publishing, more posts will see the light of day.</p><p>My long-term aims are to learn by publishing, do more nature-positive Data & AI work myself, and help others in the space. Rather than sinking into doom and gloom, I&rsquo;d like to focus on positive applications of Data & AI tech that make our world better (in the spirit of publications like <a href=https://www.volts.wtf/ target=_blank rel=noopener>Volts</a>).</p><p><strong>Call to action:</strong></p><ul><li>If this all sounds uninteresting to you, you&rsquo;re welcome to unsubscribe – no hard feelings.</li><li>If you know people I should talk to and feature in future posts, I&rsquo;d appreciate an intro.</li><li>If you have any suggestions, please send them by replying to any of my emails, or <a href=https://yanirseroussi.com/contact/>contact me through other means</a> – I&rsquo;d love to hear from you.</li></ul></div><footer class=post-footer><ul class=post-tags><li><a href=https://yanirseroussi.com/tags/artificial-intelligence/>artificial intelligence</a></li><li><a href=https://yanirseroussi.com/tags/blogging/>blogging</a></li><li><a href=https://yanirseroussi.com/tags/data-science/>data science</a></li><li><a href=https://yanirseroussi.com/tags/environment/>environment</a></li><li><a href=https://yanirseroussi.com/tags/personal/>personal</a></li></ul><ul class=share-buttons><li><a target=_blank rel="noopener noreferrer" aria-label="share New decade, new tagline: Data & AI for Nature on x" href="https://x.com/intent/tweet/?text=New%20decade%2c%20new%20tagline%3a%20Data%20%26%20AI%20for%20Nature&amp;url=https%3a%2f%2fyanirseroussi.com%2f2024%2f01%2f19%2fnew-decade-new-tagline-data-and-ai-for-nature%2f&amp;hashtags=artificialintelligence%2cblogging%2cdatascience%2cenvironment%2cpersonal"><svg viewBox="0 0 512 512" height="30" width="30" fill="currentcolor"><path d="M512 62.554V449.446C512 483.97 483.97 512 449.446 512H62.554C28.03 512 0 483.97.0 449.446V62.554C0 28.03 28.029.0 62.554.0H449.446C483.971.0 512 28.03 512 62.554zM269.951 190.75 182.567 75.216H56L207.216 272.95 63.9 436.783h61.366L235.9 310.383l96.667 126.4H456L298.367 228.367l134-153.151H371.033zM127.633 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+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>This page summarises the deep learning resources I&amp;rsquo;ve consulted in my album cover classification project.
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yanir Seroussi | Data &amp; AI for Nature</title><link>https://yanirseroussi.com/</link><description>Recent content on Yanir Seroussi | Data &amp; AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><lastBuildDate>Thu, 18 Jan 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://yanirseroussi.com/index.xml" rel="self" type="application/rss+xml"/><item><title>New decade, new tagline: Data &amp; AI for Nature</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</link><pubDate>Thu, 18 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Nature&amp;rsquo;, with more nature-positive 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>This page summarises the deep learning resources I&amp;rsquo;ve consulted in my album cover classification project.
 Tutorials and blog posts Convolutional Neural Networks for Visual Recognition Stanford course notes: an excellent resource, very up-to-date and useful, despite still being a work in progress DeepLearning.net&amp;rsquo;s Theano-based tutorials: not as up-to-date as the Stanford course notes, but still a good introduction to some of the theory and general Theano usage Lasagne&amp;rsquo;s documentation and tutorials: still a bit lacking, but good when you know what you&amp;rsquo;re looking for lasagne4newbs: Lasagne&amp;rsquo;s convnet example with richer comments Using convolutional neural nets to detect facial keypoints tutorial: the resource that made me want to use Lasagne Classifying plankton with deep neural networks: an epic post, which I found while looking for Lasagne examples Various Wikipedia pages: a bit disappointing – the above resources are much better Papers Adam: a method for stochastic optimization (Kingma and Ba, 2015): an improvement over SGD with Nesterov momentum, AdaGrad and RMSProp, which I found to be useful in practice Algorithms for Hyper-Parameter Optimization (Bergstra et al.</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 Me</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 full-stack data scientist and software engineer with over a decade of experience.</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>This is a list of some causal inference resources, which I update from time to time. You can also check out my posts on causal inference and A/B testing.
 Books:
 Causal Inference: What if by Miguel Hernán and Jamie Robins: The most practical book I&amp;rsquo;ve read. Highly recommended. Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing by Ron Kohavi, Diane Tang, and Ya Xu: Building on the authors&amp;rsquo; decades of industry experience, this is pretty much the bible of online experiments, which is how causal inference is often done in practice.</description></item><item><title>Data &amp; AI Consulting Services</title><link>https://yanirseroussi.com/consult/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/consult/</guid><description>Yanir Seroussi&amp;rsquo;s Data &amp;amp; AI consulting services, mostly targeting startups and scaleups focused on nature-positive outcomes.</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><item><title>Talks</title><link>https://yanirseroussi.com/talks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/talks/</guid><description>Just a list of some talks I&amp;rsquo;ve given, saved here for future reference and for general public benefit.
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 "><script type=application/ld+json>{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Browse Posts","item":"https://yanirseroussi.com/posts/"}]}</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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" 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 xmlns="http://www.w3.org/2000/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=Posts><span class=active>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>Browse Posts</h1><div class=post-description><p>Browse my main posts in reverse chronological order below, or <a href=/tags/>by tag</a>. You may also want to check out my
 shorter-form <a href=/til/>TIL (today I learned) posts</a>.</p><p><a href=#mailing-list-email>Subscribe to the mailing list at the bottom of any page</a> to get new posts delivered to your
-mailbox.</p></div></header><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</h2></header><div class=entry-content><p>Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.</p></div><footer class=entry-footer><span title='2023-11-29 02:00:00 +0000 UTC'>November 29, 2023</span></footer><a class=entry-link aria-label="post link to Supporting volunteer monitoring of marine biodiversity with modern web and data tools" href=https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Lessons from reluctant data engineering</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2023-10-25 04:45:00 +0000 UTC'>October 25, 2023</span></footer><a class=entry-link aria-label="post link to Lessons from reluctant data engineering" href=https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My rediscovery of quiet writing on the open web</h2></header><div class=entry-content><p>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</p></div><footer class=entry-footer><span title='2023-08-28 05:30:00 +0000 UTC'>August 28, 2023</span></footer><a class=entry-link aria-label="post link to My rediscovery of quiet writing on the open web" href=https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Was data science a failure mode of software engineering?</h2></header><div class=entry-content><p>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</p></div><footer class=entry-footer><span title='2023-06-30 00:06:30 +0000 UTC'>June 30, 2023</span></footer><a class=entry-link aria-label="post link to Was data science a failure mode of software engineering?" href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>How hackable are automated coding assessments?</h2></header><div class=entry-content><p>Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.</p></div><footer class=entry-footer><span title='2023-05-26 00:03:00 +0000 UTC'>May 26, 2023</span></footer><a class=entry-link aria-label="post link to How hackable are automated coding assessments?" href=https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Remaining relevant as a small language model</h2></header><div class=entry-content><p>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).</p></div><footer class=entry-footer><span title='2023-04-21 00:06:30 +0000 UTC'>April 21, 2023</span></footer><a class=entry-link aria-label="post link to Remaining relevant as a small language model" href=https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>ChatGPT is transformative AI</h2></header><div class=entry-content><p>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.</p></div><footer class=entry-footer><span title='2022-12-11 00:00:00 +0000 UTC'>December 11, 2022</span></footer><a class=entry-link aria-label="post link to ChatGPT is transformative AI" href=https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Causal Machine Learning is off to a good start, despite some issues</h2></header><div class=entry-content><p>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</p></div><footer class=entry-footer><span title='2022-09-12 02:45:00 +0000 UTC'>September 12, 2022</span></footer><a class=entry-link aria-label="post link to Causal Machine Learning is off to a good start, despite some issues" href=https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Building useful machine learning tools keeps getting easier: A fish ID case study</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2022-03-20 04:30:00 +0000 UTC'>March 20, 2022</span></footer><a class=entry-link aria-label="post link to Building useful machine learning tools keeps getting easier: A fish ID case study" href=https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</h2></header><div class=entry-content><p>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</p></div><footer class=entry-footer><span title='2022-01-14 00:05:40 +0000 UTC'>January 14, 2022</span></footer><a class=entry-link aria-label="post link to Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials" href=https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Use your human brain to avoid artificial intelligence disasters</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2021-11-22 03:45:00 +0000 UTC'>November 22, 2021</span></footer><a class=entry-link aria-label="post link to Use your human brain to avoid artificial intelligence disasters" href=https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Migrating from WordPress.com to Hugo on GitHub + Cloudflare</h2></header><div class=entry-content><p>My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.</p></div><footer class=entry-footer><span title='2021-11-10 06:30:00 +0000 UTC'>November 10, 2021</span></footer><a class=entry-link aria-label="post link to Migrating from WordPress.com to Hugo on GitHub + Cloudflare" href=https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My work with Automattic</h2></header><div class=entry-content><p>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.</p></div><footer class=entry-footer><span title='2021-10-07 00:00:00 +0000 UTC'>October 7, 2021</span></footer><a class=entry-link aria-label="post link to My work with Automattic" href=https://yanirseroussi.com/2021/10/07/my-work-with-automattic/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Some highlights from 2020</h2></header><div class=entry-content><p>Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.</p></div><footer class=entry-footer><span title='2021-04-05 06:41:48 +0000 UTC'>April 5, 2021</span></footer><a class=entry-link aria-label="post link to Some highlights from 2020" href=https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Many is not enough: Counting simulations to bootstrap the right way</h2></header><div class=entry-content><p>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2020-08-24 01:35:17 +0000 UTC'>August 24, 2020</span></footer><a class=entry-link aria-label="post link to Many is not enough: Counting simulations to bootstrap the right way" href=https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Software commodities are eating interesting data science work</h2></header><div class=entry-content><p>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</p></div><footer class=entry-footer><span title='2020-01-11 09:22:35 +0000 UTC'>January 11, 2020</span></footer><a class=entry-link aria-label="post link to Software commodities are eating interesting data science work" href=https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>A day in the life of a remote data scientist</h2></header><div class=entry-content><p>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</p></div><footer class=entry-footer><span title='2019-12-11 22:06:19 +0000 UTC'>December 11, 2019</span></footer><a class=entry-link aria-label="post link to A day in the life of a remote data scientist" href=https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Bootstrapping the right way?</h2></header><div class=entry-content><p>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2019-10-06 06:48:07 +0000 UTC'>October 6, 2019</span></footer><a class=entry-link aria-label="post link to Bootstrapping the right way?" href=https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Hackers beware: Bootstrap sampling may be harmful</h2></header><div class=entry-content><p>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.</p></div><footer class=entry-footer><span title='2019-01-07 21:07:56 +0000 UTC'>January 7, 2019</span></footer><a class=entry-link aria-label="post link to Hackers beware: Bootstrap sampling may be harmful" href=https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The most practical causal inference book I’ve read (is still a draft)</h2></header><div class=entry-content><p>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</p></div><footer class=entry-footer><span title='2018-12-24 02:37:50 +0000 UTC'>December 24, 2018</span></footer><a class=entry-link aria-label="post link to The most practical causal inference book I’ve read (is still a draft)" href=https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Reflections on remote data science work</h2></header><div class=entry-content><p>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</p></div><footer class=entry-footer><span title='2018-11-03 06:33:13 +0000 UTC'>November 3, 2018</span></footer><a class=entry-link aria-label="post link to Reflections on remote data science work" href=https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Defining data science in 2018</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2018-07-22 08:27:43 +0000 UTC'>July 22, 2018</span></footer><a class=entry-link aria-label="post link to Defining data science in 2018" href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Advice for aspiring data scientists and other FAQs</h2></header><div class=entry-content><p>Frequently asked questions by visitors to this site, especially around entering the data science field.</p></div><footer class=entry-footer><span title='2017-10-15 09:15:25 +0000 UTC'>October 15, 2017</span></footer><a class=entry-link aria-label="post link to Advice for aspiring data scientists and other FAQs" href=https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>State of Bandcamp Recommender, Late 2017</h2></header><div class=entry-content><p>Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.</p></div><footer class=entry-footer><span title='2017-09-02 10:19:02 +0000 UTC'>September 2, 2017</span></footer><a class=entry-link aria-label="post link to State of Bandcamp Recommender, Late 2017" href=https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My 10-step path to becoming a remote data scientist with Automattic</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2017-07-29 05:39:26 +0000 UTC'>July 29, 2017</span></footer><a class=entry-link aria-label="post link to My 10-step path to becoming a remote data scientist with Automattic" href=https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Exploring and visualising Reef Life Survey data</h2></header><div class=entry-content><p>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</p></div><footer class=entry-footer><span title='2017-06-03 00:49:05 +0000 UTC'>June 3, 2017</span></footer><a class=entry-link aria-label="post link to Exploring and visualising Reef Life Survey data" href=https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Customer lifetime value and the proliferation of misinformation on the internet</h2></header><div class=entry-content><p>There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.</p></div><footer class=entry-footer><span title='2017-01-08 20:02:30 +0000 UTC'>January 8, 2017</span></footer><a class=entry-link aria-label="post link to Customer lifetime value and the proliferation of misinformation on the internet" href=https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Ask Why! Finding motives, causes, and purpose in data science</h2></header><div class=entry-content><p>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.</p></div><footer class=entry-footer><span title='2016-09-19 21:28:44 +0000 UTC'>September 19, 2016</span></footer><a class=entry-link aria-label="post link to Ask Why! Finding motives, causes, and purpose in data science" href=https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>If you don’t pay attention, data can drive you off a cliff</h2></header><div class=entry-content><p>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</p></div><footer class=entry-footer><span title='2016-08-21 21:34:17 +0000 UTC'>August 21, 2016</span></footer><a class=entry-link aria-label="post link to If you don’t pay attention, data can drive you off a cliff" href=https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Is Data Scientist a useless job title?</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2016-08-04 22:26:03 +0000 UTC'>August 4, 2016</span></footer><a class=entry-link aria-label="post link to Is Data Scientist a useless job title?" href=https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Making Bayesian A/B testing more accessible</h2></header><div class=entry-content><p>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</p></div><footer class=entry-footer><span title='2016-06-19 10:32:15 +0000 UTC'>June 19, 2016</span></footer><a class=entry-link aria-label="post link to Making Bayesian A/B testing more accessible" href=https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</h2></header><div class=entry-content><p>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.</p></div><footer class=entry-footer><span title='2016-05-14 19:57:03 +0000 UTC'>May 14, 2016</span></footer><a class=entry-link aria-label="post link to Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions" href=https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The rise of greedy robots</h2></header><div class=entry-content><p>Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.</p></div><footer class=entry-footer><span title='2016-03-20 20:33:43 +0000 UTC'>March 20, 2016</span></footer><a class=entry-link aria-label="post link to The rise of greedy robots" href=https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Why you should stop worrying about deep learning and deepen your understanding of causality instead</h2></header><div class=entry-content><p>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</p></div><footer class=entry-footer><span title='2016-02-14 11:04:11 +0000 UTC'>February 14, 2016</span></footer><a class=entry-link aria-label="post link to Why you should stop worrying about deep learning and deepen your understanding of causality instead" href=https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>This holiday season, give me real insights</h2></header><div class=entry-content><p>Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.</p></div><footer class=entry-footer><span title='2015-12-08 06:57:25 +0000 UTC'>December 8, 2015</span></footer><a class=entry-link aria-label="post link to This holiday season, give me real insights" href=https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The hardest parts of data science</h2></header><div class=entry-content><p>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</p></div><footer class=entry-footer><span title='2015-11-23 04:14:21 +0000 UTC'>November 23, 2015</span></footer><a class=entry-link aria-label="post link to The hardest parts of data science" href=https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Migrating a simple web application from MongoDB to Elasticsearch</h2></header><div class=entry-content><p>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</p></div><footer class=entry-footer><span title='2015-11-04 03:53:18 +0000 UTC'>November 4, 2015</span></footer><a class=entry-link aria-label="post link to Migrating a simple web application from MongoDB to Elasticsearch" href=https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</h2></header><div class=entry-content><p>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</p></div><footer class=entry-footer><span title='2015-10-19 00:02:32 +0000 UTC'>October 19, 2015</span></footer><a class=entry-link aria-label="post link to Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling" href=https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The wonderful world of recommender systems</h2></header><div class=entry-content><p>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</p></div><footer class=entry-footer><span title='2015-10-02 05:25:57 +0000 UTC'>October 2, 2015</span></footer><a class=entry-link aria-label="post link to The wonderful world of recommender systems" href=https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>You don’t need a data scientist (yet)</h2></header><div class=entry-content><p>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</p></div><footer class=entry-footer><span title='2015-08-24 08:25:30 +0000 UTC'>August 24, 2015</span></footer><a class=entry-link aria-label="post link to You don’t need a data scientist (yet)" href=https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Goodbye, Parse.com</h2></header><div class=entry-content><p>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</p></div><footer class=entry-footer><span title='2015-07-31 03:29:50 +0000 UTC'>July 31, 2015</span></footer><a class=entry-link aria-label="post link to Goodbye, Parse.com" href=https://yanirseroussi.com/2015/07/31/goodbye-parse-com/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Learning about deep learning through album cover classification</h2></header><div class=entry-content><p>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</p></div><footer class=entry-footer><span title='2015-07-06 22:21:42 +0000 UTC'>July 6, 2015</span></footer><a class=entry-link aria-label="post link to Learning about deep learning through album cover classification" href=https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Hopping on the deep learning bandwagon</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-06-06 05:00:22 +0000 UTC'>June 6, 2015</span></footer><a class=entry-link aria-label="post link to Hopping on the deep learning bandwagon" href=https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>First steps in data science: author-aware sentiment analysis</h2></header><div class=entry-content><p>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</p></div><footer class=entry-footer><span title='2015-05-02 08:31:10 +0000 UTC'>May 2, 2015</span></footer><a class=entry-link aria-label="post link to First steps in data science: author-aware sentiment analysis" href=https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My divestment from fossil fuels</h2></header><div class=entry-content><p>Recent choices I’ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</p></div><footer class=entry-footer><span title='2015-04-24 00:19:36 +0000 UTC'>April 24, 2015</span></footer><a class=entry-link aria-label="post link to My divestment from fossil fuels" href=https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My PhD work</h2></header><div class=entry-content><p>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</p></div><footer class=entry-footer><span title='2015-03-30 03:23:33 +0000 UTC'>March 30, 2015</span></footer><a class=entry-link aria-label="post link to My PhD work" href=https://yanirseroussi.com/phd-work/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The long road to a lifestyle business</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-03-22 09:43:47 +0000 UTC'>March 22, 2015</span></footer><a class=entry-link aria-label="post link to The long road to a lifestyle business" href=https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</h2></header><div class=entry-content><p>My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-02-11 06:34:17 +0000 UTC'>February 11, 2015</span></footer><a class=entry-link aria-label="post link to Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)" href=https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</h2></header><div class=entry-content><p>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-01-29 10:37:39 +0000 UTC'>January 29, 2015</span></footer><a class=entry-link aria-label="post link to Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)" href=https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Automating Parse.com bulk data imports</h2></header><div class=entry-content><p>A script for importing data into the Parse backend-as-a-service.</p></div><footer class=entry-footer><span title='2015-01-15 04:41:16 +0000 UTC'>January 15, 2015</span></footer><a class=entry-link aria-label="post link to Automating Parse.com bulk data imports" href=https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</h2></header><div class=entry-content><p>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</p></div><footer class=entry-footer><span title='2014-12-29 02:30:06 +0000 UTC'>December 29, 2014</span></footer><a class=entry-link aria-label="post link to Stochastic Gradient Boosting: Choosing the Best Number of Iterations" href=https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SEO: Mostly about showing up?</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2014-12-15 04:25:25 +0000 UTC'>December 15, 2014</span></footer><a class=entry-link aria-label="post link to SEO: Mostly about showing up?" href=https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</h2></header><div class=entry-content><p>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</p></div><footer class=entry-footer><span title='2014-11-19 09:17:34 +0000 UTC'>November 19, 2014</span></footer><a class=entry-link aria-label="post link to Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)" href=https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>BCRecommender Traction Update</h2></header><div class=entry-content><p>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</p></div><footer class=entry-footer><span title='2014-11-05 02:29:35 +0000 UTC'>November 5, 2014</span></footer><a class=entry-link aria-label="post link to BCRecommender Traction Update" href=https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>What is data science?</h2></header><div class=entry-content><p>Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.</p></div><footer class=entry-footer><span title='2014-10-23 03:22:08 +0000 UTC'>October 23, 2014</span></footer><a class=entry-link aria-label="post link to What is data science?" href=https://yanirseroussi.com/2014/10/23/what-is-data-science/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Greek Media Monitoring Kaggle competition: My approach</h2></header><div class=entry-content><p>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</p></div><footer class=entry-footer><span title='2014-10-07 03:21:35 +0000 UTC'>October 7, 2014</span></footer><a class=entry-link aria-label="post link to Greek Media Monitoring Kaggle competition: My approach" href=https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Applying the Traction Book’s Bullseye framework to BCRecommender</h2></header><div class=entry-content><p>Ranking 19 channels with the goal of getting traction for BCRecommender.</p></div><footer class=entry-footer><span title='2014-09-24 04:57:39 +0000 UTC'>September 24, 2014</span></footer><a class=entry-link aria-label="post link to Applying the Traction Book’s Bullseye framework to BCRecommender" href=https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Bandcamp recommendation and discovery algorithms</h2></header><div class=entry-content><p>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</p></div><footer class=entry-footer><span title='2014-09-19 14:26:55 +0000 UTC'>September 19, 2014</span></footer><a class=entry-link aria-label="post link to Bandcamp recommendation and discovery algorithms" href=https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</h2></header><div class=entry-content><p>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</p></div><footer class=entry-footer><span title='2014-09-07 10:48:44 +0000 UTC'>September 7, 2014</span></footer><a class=entry-link aria-label="post link to Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)" href=https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Building a Bandcamp recommender system (part 1 – motivation)</h2></header><div class=entry-content><p>My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.</p></div><footer class=entry-footer><span title='2014-08-30 08:11:38 +0000 UTC'>August 30, 2014</span></footer><a class=entry-link aria-label="post link to Building a Bandcamp recommender system (part 1 – motivation)" href=https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>How to (almost) win Kaggle competitions</h2></header><div class=entry-content><p>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-08-24 12:40:53 +0000 UTC'>August 24, 2014</span></footer><a class=entry-link aria-label="post link to How to (almost) win Kaggle competitions" href=https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Data’s hierarchy of needs</h2></header><div class=entry-content><p>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.</p></div><footer class=entry-footer><span title='2014-08-17 13:09:30 +0000 UTC'>August 17, 2014</span></footer><a class=entry-link aria-label="post link to Data’s hierarchy of needs" href=https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Kaggle competition tips and summaries</h2></header><div class=entry-content><p>Pointers to all my Kaggle advice posts and competition summaries.</p></div><footer class=entry-footer><span title='2014-04-05 23:46:10 +0000 UTC'>April 5, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle competition tips and summaries" href=https://yanirseroussi.com/kaggle/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Kaggle beginner tips</h2></header><div class=entry-content><p>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-01-19 10:34:28 +0000 UTC'>January 19, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle beginner tips" href=https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
+mailbox.</p></div></header><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>New decade, new tagline: Data & AI for Nature</h2></header><div class=entry-content><p>Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.</p></div><footer class=entry-footer><span title='2024-01-18 00:00:00 +0000 UTC'>January 18, 2024</span></footer><a class=entry-link aria-label="post link to New decade, new tagline: Data & AI for Nature" href=https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Supporting volunteer monitoring of marine biodiversity with modern web and data tools</h2></header><div class=entry-content><p>Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.</p></div><footer class=entry-footer><span title='2023-11-29 02:00:00 +0000 UTC'>November 29, 2023</span></footer><a class=entry-link aria-label="post link to Supporting volunteer monitoring of marine biodiversity with modern web and data tools" href=https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Lessons from reluctant data engineering</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2023-10-25 04:45:00 +0000 UTC'>October 25, 2023</span></footer><a class=entry-link aria-label="post link to Lessons from reluctant data engineering" href=https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My rediscovery of quiet writing on the open web</h2></header><div class=entry-content><p>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</p></div><footer class=entry-footer><span title='2023-08-28 05:30:00 +0000 UTC'>August 28, 2023</span></footer><a class=entry-link aria-label="post link to My rediscovery of quiet writing on the open web" href=https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Was data science a failure mode of software engineering?</h2></header><div class=entry-content><p>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</p></div><footer class=entry-footer><span title='2023-06-30 00:06:30 +0000 UTC'>June 30, 2023</span></footer><a class=entry-link aria-label="post link to Was data science a failure mode of software engineering?" href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>How hackable are automated coding assessments?</h2></header><div class=entry-content><p>Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.</p></div><footer class=entry-footer><span title='2023-05-26 00:03:00 +0000 UTC'>May 26, 2023</span></footer><a class=entry-link aria-label="post link to How hackable are automated coding assessments?" href=https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Remaining relevant as a small language model</h2></header><div class=entry-content><p>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).</p></div><footer class=entry-footer><span title='2023-04-21 00:06:30 +0000 UTC'>April 21, 2023</span></footer><a class=entry-link aria-label="post link to Remaining relevant as a small language model" href=https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>ChatGPT is transformative AI</h2></header><div class=entry-content><p>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.</p></div><footer class=entry-footer><span title='2022-12-11 00:00:00 +0000 UTC'>December 11, 2022</span></footer><a class=entry-link aria-label="post link to ChatGPT is transformative AI" href=https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Causal Machine Learning is off to a good start, despite some issues</h2></header><div class=entry-content><p>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</p></div><footer class=entry-footer><span title='2022-09-12 02:45:00 +0000 UTC'>September 12, 2022</span></footer><a class=entry-link aria-label="post link to Causal Machine Learning is off to a good start, despite some issues" href=https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Building useful machine learning tools keeps getting easier: A fish ID case study</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2022-03-20 04:30:00 +0000 UTC'>March 20, 2022</span></footer><a class=entry-link aria-label="post link to Building useful machine learning tools keeps getting easier: A fish ID case study" href=https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</h2></header><div class=entry-content><p>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</p></div><footer class=entry-footer><span title='2022-01-14 00:05:40 +0000 UTC'>January 14, 2022</span></footer><a class=entry-link aria-label="post link to Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials" href=https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Use your human brain to avoid artificial intelligence disasters</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2021-11-22 03:45:00 +0000 UTC'>November 22, 2021</span></footer><a class=entry-link aria-label="post link to Use your human brain to avoid artificial intelligence disasters" href=https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Migrating from WordPress.com to Hugo on GitHub + Cloudflare</h2></header><div class=entry-content><p>My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.</p></div><footer class=entry-footer><span title='2021-11-10 06:30:00 +0000 UTC'>November 10, 2021</span></footer><a class=entry-link aria-label="post link to Migrating from WordPress.com to Hugo on GitHub + Cloudflare" href=https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My work with Automattic</h2></header><div class=entry-content><p>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.</p></div><footer class=entry-footer><span title='2021-10-07 00:00:00 +0000 UTC'>October 7, 2021</span></footer><a class=entry-link aria-label="post link to My work with Automattic" href=https://yanirseroussi.com/2021/10/07/my-work-with-automattic/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Some highlights from 2020</h2></header><div class=entry-content><p>Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.</p></div><footer class=entry-footer><span title='2021-04-05 06:41:48 +0000 UTC'>April 5, 2021</span></footer><a class=entry-link aria-label="post link to Some highlights from 2020" href=https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Many is not enough: Counting simulations to bootstrap the right way</h2></header><div class=entry-content><p>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2020-08-24 01:35:17 +0000 UTC'>August 24, 2020</span></footer><a class=entry-link aria-label="post link to Many is not enough: Counting simulations to bootstrap the right way" href=https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Software commodities are eating interesting data science work</h2></header><div class=entry-content><p>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</p></div><footer class=entry-footer><span title='2020-01-11 09:22:35 +0000 UTC'>January 11, 2020</span></footer><a class=entry-link aria-label="post link to Software commodities are eating interesting data science work" href=https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>A day in the life of a remote data scientist</h2></header><div class=entry-content><p>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</p></div><footer class=entry-footer><span title='2019-12-11 22:06:19 +0000 UTC'>December 11, 2019</span></footer><a class=entry-link aria-label="post link to A day in the life of a remote data scientist" href=https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Bootstrapping the right way?</h2></header><div class=entry-content><p>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2019-10-06 06:48:07 +0000 UTC'>October 6, 2019</span></footer><a class=entry-link aria-label="post link to Bootstrapping the right way?" href=https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Hackers beware: Bootstrap sampling may be harmful</h2></header><div class=entry-content><p>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.</p></div><footer class=entry-footer><span title='2019-01-07 21:07:56 +0000 UTC'>January 7, 2019</span></footer><a class=entry-link aria-label="post link to Hackers beware: Bootstrap sampling may be harmful" href=https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The most practical causal inference book I’ve read (is still a draft)</h2></header><div class=entry-content><p>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</p></div><footer class=entry-footer><span title='2018-12-24 02:37:50 +0000 UTC'>December 24, 2018</span></footer><a class=entry-link aria-label="post link to The most practical causal inference book I’ve read (is still a draft)" href=https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Reflections on remote data science work</h2></header><div class=entry-content><p>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</p></div><footer class=entry-footer><span title='2018-11-03 06:33:13 +0000 UTC'>November 3, 2018</span></footer><a class=entry-link aria-label="post link to Reflections on remote data science work" href=https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Defining data science in 2018</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2018-07-22 08:27:43 +0000 UTC'>July 22, 2018</span></footer><a class=entry-link aria-label="post link to Defining data science in 2018" href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Advice for aspiring data scientists and other FAQs</h2></header><div class=entry-content><p>Frequently asked questions by visitors to this site, especially around entering the data science field.</p></div><footer class=entry-footer><span title='2017-10-15 09:15:25 +0000 UTC'>October 15, 2017</span></footer><a class=entry-link aria-label="post link to Advice for aspiring data scientists and other FAQs" href=https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>State of Bandcamp Recommender, Late 2017</h2></header><div class=entry-content><p>Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.</p></div><footer class=entry-footer><span title='2017-09-02 10:19:02 +0000 UTC'>September 2, 2017</span></footer><a class=entry-link aria-label="post link to State of Bandcamp Recommender, Late 2017" href=https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My 10-step path to becoming a remote data scientist with Automattic</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2017-07-29 05:39:26 +0000 UTC'>July 29, 2017</span></footer><a class=entry-link aria-label="post link to My 10-step path to becoming a remote data scientist with Automattic" href=https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Exploring and visualising Reef Life Survey data</h2></header><div class=entry-content><p>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</p></div><footer class=entry-footer><span title='2017-06-03 00:49:05 +0000 UTC'>June 3, 2017</span></footer><a class=entry-link aria-label="post link to Exploring and visualising Reef Life Survey data" href=https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Customer lifetime value and the proliferation of misinformation on the internet</h2></header><div class=entry-content><p>There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.</p></div><footer class=entry-footer><span title='2017-01-08 20:02:30 +0000 UTC'>January 8, 2017</span></footer><a class=entry-link aria-label="post link to Customer lifetime value and the proliferation of misinformation on the internet" href=https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Ask Why! Finding motives, causes, and purpose in data science</h2></header><div class=entry-content><p>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.</p></div><footer class=entry-footer><span title='2016-09-19 21:28:44 +0000 UTC'>September 19, 2016</span></footer><a class=entry-link aria-label="post link to Ask Why! Finding motives, causes, and purpose in data science" href=https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>If you don’t pay attention, data can drive you off a cliff</h2></header><div class=entry-content><p>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</p></div><footer class=entry-footer><span title='2016-08-21 21:34:17 +0000 UTC'>August 21, 2016</span></footer><a class=entry-link aria-label="post link to If you don’t pay attention, data can drive you off a cliff" href=https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Is Data Scientist a useless job title?</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2016-08-04 22:26:03 +0000 UTC'>August 4, 2016</span></footer><a class=entry-link aria-label="post link to Is Data Scientist a useless job title?" href=https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Making Bayesian A/B testing more accessible</h2></header><div class=entry-content><p>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</p></div><footer class=entry-footer><span title='2016-06-19 10:32:15 +0000 UTC'>June 19, 2016</span></footer><a class=entry-link aria-label="post link to Making Bayesian A/B testing more accessible" href=https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</h2></header><div class=entry-content><p>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.</p></div><footer class=entry-footer><span title='2016-05-14 19:57:03 +0000 UTC'>May 14, 2016</span></footer><a class=entry-link aria-label="post link to Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions" href=https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The rise of greedy robots</h2></header><div class=entry-content><p>Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.</p></div><footer class=entry-footer><span title='2016-03-20 20:33:43 +0000 UTC'>March 20, 2016</span></footer><a class=entry-link aria-label="post link to The rise of greedy robots" href=https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Why you should stop worrying about deep learning and deepen your understanding of causality instead</h2></header><div class=entry-content><p>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</p></div><footer class=entry-footer><span title='2016-02-14 11:04:11 +0000 UTC'>February 14, 2016</span></footer><a class=entry-link aria-label="post link to Why you should stop worrying about deep learning and deepen your understanding of causality instead" href=https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>This holiday season, give me real insights</h2></header><div class=entry-content><p>Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.</p></div><footer class=entry-footer><span title='2015-12-08 06:57:25 +0000 UTC'>December 8, 2015</span></footer><a class=entry-link aria-label="post link to This holiday season, give me real insights" href=https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The hardest parts of data science</h2></header><div class=entry-content><p>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</p></div><footer class=entry-footer><span title='2015-11-23 04:14:21 +0000 UTC'>November 23, 2015</span></footer><a class=entry-link aria-label="post link to The hardest parts of data science" href=https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Migrating a simple web application from MongoDB to Elasticsearch</h2></header><div class=entry-content><p>Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.</p></div><footer class=entry-footer><span title='2015-11-04 03:53:18 +0000 UTC'>November 4, 2015</span></footer><a class=entry-link aria-label="post link to Migrating a simple web application from MongoDB to Elasticsearch" href=https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</h2></header><div class=entry-content><p>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</p></div><footer class=entry-footer><span title='2015-10-19 00:02:32 +0000 UTC'>October 19, 2015</span></footer><a class=entry-link aria-label="post link to Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling" href=https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The wonderful world of recommender systems</h2></header><div class=entry-content><p>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</p></div><footer class=entry-footer><span title='2015-10-02 05:25:57 +0000 UTC'>October 2, 2015</span></footer><a class=entry-link aria-label="post link to The wonderful world of recommender systems" href=https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>You don’t need a data scientist (yet)</h2></header><div class=entry-content><p>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</p></div><footer class=entry-footer><span title='2015-08-24 08:25:30 +0000 UTC'>August 24, 2015</span></footer><a class=entry-link aria-label="post link to You don’t need a data scientist (yet)" href=https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Goodbye, Parse.com</h2></header><div class=entry-content><p>Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.</p></div><footer class=entry-footer><span title='2015-07-31 03:29:50 +0000 UTC'>July 31, 2015</span></footer><a class=entry-link aria-label="post link to Goodbye, Parse.com" href=https://yanirseroussi.com/2015/07/31/goodbye-parse-com/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Learning about deep learning through album cover classification</h2></header><div class=entry-content><p>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</p></div><footer class=entry-footer><span title='2015-07-06 22:21:42 +0000 UTC'>July 6, 2015</span></footer><a class=entry-link aria-label="post link to Learning about deep learning through album cover classification" href=https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Hopping on the deep learning bandwagon</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-06-06 05:00:22 +0000 UTC'>June 6, 2015</span></footer><a class=entry-link aria-label="post link to Hopping on the deep learning bandwagon" href=https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>First steps in data science: author-aware sentiment analysis</h2></header><div class=entry-content><p>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</p></div><footer class=entry-footer><span title='2015-05-02 08:31:10 +0000 UTC'>May 2, 2015</span></footer><a class=entry-link aria-label="post link to First steps in data science: author-aware sentiment analysis" href=https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My divestment from fossil fuels</h2></header><div class=entry-content><p>Recent choices I’ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</p></div><footer class=entry-footer><span title='2015-04-24 00:19:36 +0000 UTC'>April 24, 2015</span></footer><a class=entry-link aria-label="post link to My divestment from fossil fuels" href=https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>My PhD work</h2></header><div class=entry-content><p>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</p></div><footer class=entry-footer><span title='2015-03-30 03:23:33 +0000 UTC'>March 30, 2015</span></footer><a class=entry-link aria-label="post link to My PhD work" href=https://yanirseroussi.com/phd-work/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>The long road to a lifestyle business</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-03-22 09:43:47 +0000 UTC'>March 22, 2015</span></footer><a class=entry-link aria-label="post link to The long road to a lifestyle business" href=https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</h2></header><div class=entry-content><p>My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-02-11 06:34:17 +0000 UTC'>February 11, 2015</span></footer><a class=entry-link aria-label="post link to Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)" href=https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</h2></header><div class=entry-content><p>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-01-29 10:37:39 +0000 UTC'>January 29, 2015</span></footer><a class=entry-link aria-label="post link to Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)" href=https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Automating Parse.com bulk data imports</h2></header><div class=entry-content><p>A script for importing data into the Parse backend-as-a-service.</p></div><footer class=entry-footer><span title='2015-01-15 04:41:16 +0000 UTC'>January 15, 2015</span></footer><a class=entry-link aria-label="post link to Automating Parse.com bulk data imports" href=https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</h2></header><div class=entry-content><p>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</p></div><footer class=entry-footer><span title='2014-12-29 02:30:06 +0000 UTC'>December 29, 2014</span></footer><a class=entry-link aria-label="post link to Stochastic Gradient Boosting: Choosing the Best Number of Iterations" href=https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SEO: Mostly about showing up?</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2014-12-15 04:25:25 +0000 UTC'>December 15, 2014</span></footer><a class=entry-link aria-label="post link to SEO: Mostly about showing up?" href=https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</h2></header><div class=entry-content><p>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</p></div><footer class=entry-footer><span title='2014-11-19 09:17:34 +0000 UTC'>November 19, 2014</span></footer><a class=entry-link aria-label="post link to Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)" href=https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>BCRecommender Traction Update</h2></header><div class=entry-content><p>Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.</p></div><footer class=entry-footer><span title='2014-11-05 02:29:35 +0000 UTC'>November 5, 2014</span></footer><a class=entry-link aria-label="post link to BCRecommender Traction Update" href=https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>What is data science?</h2></header><div class=entry-content><p>Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.</p></div><footer class=entry-footer><span title='2014-10-23 03:22:08 +0000 UTC'>October 23, 2014</span></footer><a class=entry-link aria-label="post link to What is data science?" href=https://yanirseroussi.com/2014/10/23/what-is-data-science/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Greek Media Monitoring Kaggle competition: My approach</h2></header><div class=entry-content><p>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</p></div><footer class=entry-footer><span title='2014-10-07 03:21:35 +0000 UTC'>October 7, 2014</span></footer><a class=entry-link aria-label="post link to Greek Media Monitoring Kaggle competition: My approach" href=https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Applying the Traction Book’s Bullseye framework to BCRecommender</h2></header><div class=entry-content><p>Ranking 19 channels with the goal of getting traction for BCRecommender.</p></div><footer class=entry-footer><span title='2014-09-24 04:57:39 +0000 UTC'>September 24, 2014</span></footer><a class=entry-link aria-label="post link to Applying the Traction Book’s Bullseye framework to BCRecommender" href=https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Bandcamp recommendation and discovery algorithms</h2></header><div class=entry-content><p>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</p></div><footer class=entry-footer><span title='2014-09-19 14:26:55 +0000 UTC'>September 19, 2014</span></footer><a class=entry-link aria-label="post link to Bandcamp recommendation and discovery algorithms" href=https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)</h2></header><div class=entry-content><p>Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.</p></div><footer class=entry-footer><span title='2014-09-07 10:48:44 +0000 UTC'>September 7, 2014</span></footer><a class=entry-link aria-label="post link to Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)" href=https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Building a Bandcamp recommender system (part 1 – motivation)</h2></header><div class=entry-content><p>My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.</p></div><footer class=entry-footer><span title='2014-08-30 08:11:38 +0000 UTC'>August 30, 2014</span></footer><a class=entry-link aria-label="post link to Building a Bandcamp recommender system (part 1 – motivation)" href=https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>How to (almost) win Kaggle competitions</h2></header><div class=entry-content><p>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-08-24 12:40:53 +0000 UTC'>August 24, 2014</span></footer><a class=entry-link aria-label="post link to How to (almost) win Kaggle competitions" href=https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Data’s hierarchy of needs</h2></header><div class=entry-content><p>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.</p></div><footer class=entry-footer><span title='2014-08-17 13:09:30 +0000 UTC'>August 17, 2014</span></footer><a class=entry-link aria-label="post link to Data’s hierarchy of needs" href=https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Kaggle competition tips and summaries</h2></header><div class=entry-content><p>Pointers to all my Kaggle advice posts and competition summaries.</p></div><footer class=entry-footer><span title='2014-04-05 23:46:10 +0000 UTC'>April 5, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle competition tips and summaries" href=https://yanirseroussi.com/kaggle/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Kaggle beginner tips</h2></header><div class=entry-content><p>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-01-19 10:34:28 +0000 UTC'>January 19, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle beginner tips" href=https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
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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"><channel><title>Browse Posts on Yanir Seroussi | Data &amp; AI for Nature</title><link>https://yanirseroussi.com/posts/</link><description>Recent content in Browse Posts on Yanir Seroussi | Data &amp; AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><atom:link href="https://yanirseroussi.com/posts/index.xml" rel="self" type="application/rss+xml"/><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"><channel><title>Browse Posts on Yanir Seroussi | Data &amp; AI for Nature</title><link>https://yanirseroussi.com/posts/</link><description>Recent content in Browse Posts on Yanir Seroussi | Data &amp; AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><atom:link href="https://yanirseroussi.com/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>New decade, new tagline: Data &amp; AI for Nature</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</link><pubDate>Thu, 18 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Nature&amp;rsquo;, with more nature-positive 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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href=https://yanirseroussi.com/posts/ title=Posts><span>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>artificial intelligence</h1></header><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Artificial intelligence was a marketing term all along – just call it automation</h2></header><div class=entry-content><p>Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.</p></div><footer class=entry-footer><span title='2023-10-06 05:00:00 +0000 UTC'>October 6, 2023</span></footer><a class=entry-link aria-label="post link to Artificial intelligence was a marketing term all along – just call it automation" href=https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Google's Rules of Machine Learning still apply in the age of large language models</h2></header><div class=entry-content><p>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</p></div><footer class=entry-footer><span title='2023-09-21 21:30:00 +0000 UTC'>September 21, 2023</span></footer><a class=entry-link aria-label="post link to Google's Rules of Machine Learning still apply in the age of large language models" href=https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Was data science a failure mode of software engineering?</h2></header><div class=entry-content><p>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</p></div><footer class=entry-footer><span title='2023-06-30 00:06:30 +0000 UTC'>June 30, 2023</span></footer><a class=entry-link aria-label="post link to Was data science a failure mode of software engineering?" href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>How hackable are automated coding assessments?</h2></header><div class=entry-content><p>Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.</p></div><footer class=entry-footer><span title='2023-05-26 00:03:00 +0000 UTC'>May 26, 2023</span></footer><a class=entry-link aria-label="post link to How hackable are automated coding assessments?" href=https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Remaining relevant as a small language model</h2></header><div class=entry-content><p>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).</p></div><footer class=entry-footer><span title='2023-04-21 00:06:30 +0000 UTC'>April 21, 2023</span></footer><a class=entry-link aria-label="post link to Remaining relevant as a small language model" href=https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>ChatGPT is transformative AI</h2></header><div class=entry-content><p>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.</p></div><footer class=entry-footer><span title='2022-12-11 00:00:00 +0000 UTC'>December 11, 2022</span></footer><a class=entry-link aria-label="post link to ChatGPT is transformative AI" href=https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Causal Machine Learning is off to a good start, despite some issues</h2></header><div class=entry-content><p>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</p></div><footer class=entry-footer><span title='2022-09-12 02:45:00 +0000 UTC'>September 12, 2022</span></footer><a class=entry-link aria-label="post link to Causal Machine Learning is off to a good start, despite some issues" href=https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Building useful machine learning tools keeps getting easier: A fish ID case study</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2022-03-20 04:30:00 +0000 UTC'>March 20, 2022</span></footer><a class=entry-link aria-label="post link to Building useful machine learning tools keeps getting easier: A fish ID case study" href=https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Use your human brain to avoid artificial intelligence disasters</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2021-11-22 03:45:00 +0000 UTC'>November 22, 2021</span></footer><a class=entry-link aria-label="post link to Use your human brain to avoid artificial intelligence disasters" href=https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Defining data science in 2018</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2018-07-22 08:27:43 +0000 UTC'>July 22, 2018</span></footer><a class=entry-link aria-label="post link to Defining data science in 2018" href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My PhD work</h2></header><div class=entry-content><p>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</p></div><footer class=entry-footer><span title='2015-03-30 03:23:33 +0000 UTC'>March 30, 2015</span></footer><a class=entry-link aria-label="post link to My PhD work" href=https://yanirseroussi.com/phd-work/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
+"></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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" 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class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Artificial intelligence was a marketing term all along – just call it automation</h2></header><div class=entry-content><p>Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.</p></div><footer class=entry-footer><span title='2023-10-06 05:00:00 +0000 UTC'>October 6, 2023</span></footer><a class=entry-link aria-label="post link to Artificial intelligence was a marketing term all along – just call it automation" href=https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Google's Rules of Machine Learning still apply in the age of large language models</h2></header><div class=entry-content><p>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</p></div><footer class=entry-footer><span title='2023-09-21 21:30:00 +0000 UTC'>September 21, 2023</span></footer><a class=entry-link aria-label="post link to Google's Rules of Machine Learning still apply in the age of large language models" href=https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Was data science a failure mode of software engineering?</h2></header><div class=entry-content><p>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</p></div><footer class=entry-footer><span title='2023-06-30 00:06:30 +0000 UTC'>June 30, 2023</span></footer><a class=entry-link aria-label="post link to Was data science a failure mode of software engineering?" href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>How hackable are automated coding assessments?</h2></header><div class=entry-content><p>Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.</p></div><footer class=entry-footer><span title='2023-05-26 00:03:00 +0000 UTC'>May 26, 2023</span></footer><a class=entry-link aria-label="post link to How hackable are automated coding assessments?" href=https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Remaining relevant as a small language model</h2></header><div class=entry-content><p>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).</p></div><footer class=entry-footer><span title='2023-04-21 00:06:30 +0000 UTC'>April 21, 2023</span></footer><a class=entry-link aria-label="post link to Remaining relevant as a small language model" href=https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>ChatGPT is transformative AI</h2></header><div class=entry-content><p>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.</p></div><footer class=entry-footer><span title='2022-12-11 00:00:00 +0000 UTC'>December 11, 2022</span></footer><a class=entry-link aria-label="post link to ChatGPT is transformative AI" href=https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Causal Machine Learning is off to a good start, despite some issues</h2></header><div class=entry-content><p>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</p></div><footer class=entry-footer><span title='2022-09-12 02:45:00 +0000 UTC'>September 12, 2022</span></footer><a class=entry-link aria-label="post link to Causal Machine Learning is off to a good start, despite some issues" href=https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Building useful machine learning tools keeps getting easier: A fish ID case study</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2022-03-20 04:30:00 +0000 UTC'>March 20, 2022</span></footer><a class=entry-link aria-label="post link to Building useful machine learning tools keeps getting easier: A fish ID case study" href=https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Use your human brain to avoid artificial intelligence disasters</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2021-11-22 03:45:00 +0000 UTC'>November 22, 2021</span></footer><a class=entry-link aria-label="post link to Use your human brain to avoid artificial intelligence disasters" href=https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Defining data science in 2018</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2018-07-22 08:27:43 +0000 UTC'>July 22, 2018</span></footer><a class=entry-link aria-label="post link to Defining data science in 2018" href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My PhD work</h2></header><div class=entry-content><p>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</p></div><footer class=entry-footer><span title='2015-03-30 03:23:33 +0000 UTC'>March 30, 2015</span></footer><a class=entry-link aria-label="post link to My PhD work" href=https://yanirseroussi.com/phd-work/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
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diff --git a/tags/artificial-intelligence/index.xml b/tags/artificial-intelligence/index.xml
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+++ b/tags/artificial-intelligence/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/blogging/index.html b/tags/blogging/index.html
index ab2528122..89679538f 100644
--- a/tags/blogging/index.html
+++ b/tags/blogging/index.html
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diff --git a/tags/blogging/index.xml b/tags/blogging/index.xml
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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"><channel><title>blogging on Yanir Seroussi | Data &amp; AI for Nature</title><link>https://yanirseroussi.com/tags/blogging/</link><description>Recent content in blogging on Yanir Seroussi | Data &amp; AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><lastBuildDate>Mon, 28 Aug 2023 05:30:00 +0000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/blogging/index.xml" rel="self" type="application/rss+xml"/><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>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></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"><channel><title>blogging on Yanir Seroussi | Data &amp; AI for Nature</title><link>https://yanirseroussi.com/tags/blogging/</link><description>Recent content in blogging on Yanir Seroussi | Data &amp; AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><lastBuildDate>Thu, 18 Jan 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/blogging/index.xml" rel="self" type="application/rss+xml"/><item><title>New decade, new tagline: Data &amp; AI for Nature</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</link><pubDate>Thu, 18 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</guid><description>Shifting focus to &amp;lsquo;Data &amp;amp; AI for Nature&amp;rsquo;, with more nature-positive content, increased posting frequency, and deeper audience engagement.</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>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></channel></rss>
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diff --git a/tags/data-science/index.html b/tags/data-science/index.html
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 <meta name=keywords content><meta name=description content="Human-generated words on data and artificial intelligence, with a focus on nature-positive applications.
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-"></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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" 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 xmlns="http://www.w3.org/2000/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=Posts><span>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>data science</h1></header><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Positioning is a common problem for data scientists</h2></header><div class=entry-content><p>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</p></div><footer class=entry-footer><span title='2023-12-18 00:30:00 +0000 UTC'>December 18, 2023</span></footer><a class=entry-link aria-label="post link to Positioning is a common problem for data scientists" href=https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>You don't need a proprietary API for static maps</h2></header><div class=entry-content><p>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</p></div><footer class=entry-footer><span title='2023-11-21 06:00:00 +0000 UTC'>November 21, 2023</span></footer><a class=entry-link aria-label="post link to You don't need a proprietary API for static maps" href=https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Lessons from reluctant data engineering</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2023-10-25 04:45:00 +0000 UTC'>October 25, 2023</span></footer><a class=entry-link aria-label="post link to Lessons from reluctant data engineering" href=https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Google's Rules of Machine Learning still apply in the age of large language models</h2></header><div class=entry-content><p>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</p></div><footer class=entry-footer><span title='2023-09-21 21:30:00 +0000 UTC'>September 21, 2023</span></footer><a class=entry-link aria-label="post link to Google's Rules of Machine Learning still apply in the age of large language models" href=https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Was data science a failure mode of software engineering?</h2></header><div class=entry-content><p>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</p></div><footer class=entry-footer><span title='2023-06-30 00:06:30 +0000 UTC'>June 30, 2023</span></footer><a class=entry-link aria-label="post link to Was data science a failure mode of software engineering?" href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Causal Machine Learning is off to a good start, despite some issues</h2></header><div class=entry-content><p>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</p></div><footer class=entry-footer><span title='2022-09-12 02:45:00 +0000 UTC'>September 12, 2022</span></footer><a class=entry-link aria-label="post link to Causal Machine Learning is off to a good start, despite some issues" href=https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Building useful machine learning tools keeps getting easier: A fish ID case study</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2022-03-20 04:30:00 +0000 UTC'>March 20, 2022</span></footer><a class=entry-link aria-label="post link to Building useful machine learning tools keeps getting easier: A fish ID case study" href=https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</h2></header><div class=entry-content><p>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</p></div><footer class=entry-footer><span title='2022-01-14 00:05:40 +0000 UTC'>January 14, 2022</span></footer><a class=entry-link aria-label="post link to Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials" href=https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Use your human brain to avoid artificial intelligence disasters</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2021-11-22 03:45:00 +0000 UTC'>November 22, 2021</span></footer><a class=entry-link aria-label="post link to Use your human brain to avoid artificial intelligence disasters" href=https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My work with Automattic</h2></header><div class=entry-content><p>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.</p></div><footer class=entry-footer><span title='2021-10-07 00:00:00 +0000 UTC'>October 7, 2021</span></footer><a class=entry-link aria-label="post link to My work with Automattic" href=https://yanirseroussi.com/2021/10/07/my-work-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Many is not enough: Counting simulations to bootstrap the right way</h2></header><div class=entry-content><p>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2020-08-24 01:35:17 +0000 UTC'>August 24, 2020</span></footer><a class=entry-link aria-label="post link to Many is not enough: Counting simulations to bootstrap the right way" href=https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Software commodities are eating interesting data science work</h2></header><div class=entry-content><p>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</p></div><footer class=entry-footer><span title='2020-01-11 09:22:35 +0000 UTC'>January 11, 2020</span></footer><a class=entry-link aria-label="post link to Software commodities are eating interesting data science work" href=https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>A day in the life of a remote data scientist</h2></header><div class=entry-content><p>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</p></div><footer class=entry-footer><span title='2019-12-11 22:06:19 +0000 UTC'>December 11, 2019</span></footer><a class=entry-link aria-label="post link to A day in the life of a remote data scientist" href=https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Bootstrapping the right way?</h2></header><div class=entry-content><p>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2019-10-06 06:48:07 +0000 UTC'>October 6, 2019</span></footer><a class=entry-link aria-label="post link to Bootstrapping the right way?" href=https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Hackers beware: Bootstrap sampling may be harmful</h2></header><div class=entry-content><p>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.</p></div><footer class=entry-footer><span title='2019-01-07 21:07:56 +0000 UTC'>January 7, 2019</span></footer><a class=entry-link aria-label="post link to Hackers beware: Bootstrap sampling may be harmful" href=https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The most practical causal inference book I’ve read (is still a draft)</h2></header><div class=entry-content><p>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</p></div><footer class=entry-footer><span title='2018-12-24 02:37:50 +0000 UTC'>December 24, 2018</span></footer><a class=entry-link aria-label="post link to The most practical causal inference book I’ve read (is still a draft)" href=https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Reflections on remote data science work</h2></header><div class=entry-content><p>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</p></div><footer class=entry-footer><span title='2018-11-03 06:33:13 +0000 UTC'>November 3, 2018</span></footer><a class=entry-link aria-label="post link to Reflections on remote data science work" href=https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Defining data science in 2018</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2018-07-22 08:27:43 +0000 UTC'>July 22, 2018</span></footer><a class=entry-link aria-label="post link to Defining data science in 2018" href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Advice for aspiring data scientists and other FAQs</h2></header><div class=entry-content><p>Frequently asked questions by visitors to this site, especially around entering the data science field.</p></div><footer class=entry-footer><span title='2017-10-15 09:15:25 +0000 UTC'>October 15, 2017</span></footer><a class=entry-link aria-label="post link to Advice for aspiring data scientists and other FAQs" href=https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My 10-step path to becoming a remote data scientist with Automattic</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2017-07-29 05:39:26 +0000 UTC'>July 29, 2017</span></footer><a class=entry-link aria-label="post link to My 10-step path to becoming a remote data scientist with Automattic" href=https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Exploring and visualising Reef Life Survey data</h2></header><div class=entry-content><p>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</p></div><footer class=entry-footer><span title='2017-06-03 00:49:05 +0000 UTC'>June 3, 2017</span></footer><a class=entry-link aria-label="post link to Exploring and visualising Reef Life Survey data" href=https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Customer lifetime value and the proliferation of misinformation on the internet</h2></header><div class=entry-content><p>There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.</p></div><footer class=entry-footer><span title='2017-01-08 20:02:30 +0000 UTC'>January 8, 2017</span></footer><a class=entry-link aria-label="post link to Customer lifetime value and the proliferation of misinformation on the internet" href=https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Ask Why! Finding motives, causes, and purpose in data science</h2></header><div class=entry-content><p>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.</p></div><footer class=entry-footer><span title='2016-09-19 21:28:44 +0000 UTC'>September 19, 2016</span></footer><a class=entry-link aria-label="post link to Ask Why! Finding motives, causes, and purpose in data science" href=https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>If you don’t pay attention, data can drive you off a cliff</h2></header><div class=entry-content><p>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</p></div><footer class=entry-footer><span title='2016-08-21 21:34:17 +0000 UTC'>August 21, 2016</span></footer><a class=entry-link aria-label="post link to If you don’t pay attention, data can drive you off a cliff" href=https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Is Data Scientist a useless job title?</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2016-08-04 22:26:03 +0000 UTC'>August 4, 2016</span></footer><a class=entry-link aria-label="post link to Is Data Scientist a useless job title?" href=https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Making Bayesian A/B testing more accessible</h2></header><div class=entry-content><p>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</p></div><footer class=entry-footer><span title='2016-06-19 10:32:15 +0000 UTC'>June 19, 2016</span></footer><a class=entry-link aria-label="post link to Making Bayesian A/B testing more accessible" href=https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</h2></header><div class=entry-content><p>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.</p></div><footer class=entry-footer><span title='2016-05-14 19:57:03 +0000 UTC'>May 14, 2016</span></footer><a class=entry-link aria-label="post link to Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions" href=https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The rise of greedy robots</h2></header><div class=entry-content><p>Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.</p></div><footer class=entry-footer><span title='2016-03-20 20:33:43 +0000 UTC'>March 20, 2016</span></footer><a class=entry-link aria-label="post link to The rise of greedy robots" href=https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Why you should stop worrying about deep learning and deepen your understanding of causality instead</h2></header><div class=entry-content><p>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</p></div><footer class=entry-footer><span title='2016-02-14 11:04:11 +0000 UTC'>February 14, 2016</span></footer><a class=entry-link aria-label="post link to Why you should stop worrying about deep learning and deepen your understanding of causality instead" href=https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>This holiday season, give me real insights</h2></header><div class=entry-content><p>Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.</p></div><footer class=entry-footer><span title='2015-12-08 06:57:25 +0000 UTC'>December 8, 2015</span></footer><a class=entry-link aria-label="post link to This holiday season, give me real insights" href=https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The hardest parts of data science</h2></header><div class=entry-content><p>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</p></div><footer class=entry-footer><span title='2015-11-23 04:14:21 +0000 UTC'>November 23, 2015</span></footer><a class=entry-link aria-label="post link to The hardest parts of data science" href=https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</h2></header><div class=entry-content><p>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</p></div><footer class=entry-footer><span title='2015-10-19 00:02:32 +0000 UTC'>October 19, 2015</span></footer><a class=entry-link aria-label="post link to Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling" href=https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The wonderful world of recommender systems</h2></header><div class=entry-content><p>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</p></div><footer class=entry-footer><span title='2015-10-02 05:25:57 +0000 UTC'>October 2, 2015</span></footer><a class=entry-link aria-label="post link to The wonderful world of recommender systems" href=https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>You don’t need a data scientist (yet)</h2></header><div class=entry-content><p>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</p></div><footer class=entry-footer><span title='2015-08-24 08:25:30 +0000 UTC'>August 24, 2015</span></footer><a class=entry-link aria-label="post link to You don’t need a data scientist (yet)" href=https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Learning about deep learning through album cover classification</h2></header><div class=entry-content><p>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</p></div><footer class=entry-footer><span title='2015-07-06 22:21:42 +0000 UTC'>July 6, 2015</span></footer><a class=entry-link aria-label="post link to Learning about deep learning through album cover classification" href=https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Hopping on the deep learning bandwagon</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-06-06 05:00:22 +0000 UTC'>June 6, 2015</span></footer><a class=entry-link aria-label="post link to Hopping on the deep learning bandwagon" href=https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>First steps in data science: author-aware sentiment analysis</h2></header><div class=entry-content><p>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</p></div><footer class=entry-footer><span title='2015-05-02 08:31:10 +0000 UTC'>May 2, 2015</span></footer><a class=entry-link aria-label="post link to First steps in data science: author-aware sentiment analysis" href=https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My PhD work</h2></header><div class=entry-content><p>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</p></div><footer class=entry-footer><span title='2015-03-30 03:23:33 +0000 UTC'>March 30, 2015</span></footer><a class=entry-link aria-label="post link to My PhD work" href=https://yanirseroussi.com/phd-work/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The long road to a lifestyle business</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-03-22 09:43:47 +0000 UTC'>March 22, 2015</span></footer><a class=entry-link aria-label="post link to The long road to a lifestyle business" href=https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</h2></header><div class=entry-content><p>My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-02-11 06:34:17 +0000 UTC'>February 11, 2015</span></footer><a class=entry-link aria-label="post link to Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)" href=https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</h2></header><div class=entry-content><p>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-01-29 10:37:39 +0000 UTC'>January 29, 2015</span></footer><a class=entry-link aria-label="post link to Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)" href=https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</h2></header><div class=entry-content><p>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</p></div><footer class=entry-footer><span title='2014-12-29 02:30:06 +0000 UTC'>December 29, 2014</span></footer><a class=entry-link aria-label="post link to Stochastic Gradient Boosting: Choosing the Best Number of Iterations" href=https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</h2></header><div class=entry-content><p>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</p></div><footer class=entry-footer><span title='2014-11-19 09:17:34 +0000 UTC'>November 19, 2014</span></footer><a class=entry-link aria-label="post link to Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)" href=https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>What is data science?</h2></header><div class=entry-content><p>Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.</p></div><footer class=entry-footer><span title='2014-10-23 03:22:08 +0000 UTC'>October 23, 2014</span></footer><a class=entry-link aria-label="post link to What is data science?" href=https://yanirseroussi.com/2014/10/23/what-is-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Greek Media Monitoring Kaggle competition: My approach</h2></header><div class=entry-content><p>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</p></div><footer class=entry-footer><span title='2014-10-07 03:21:35 +0000 UTC'>October 7, 2014</span></footer><a class=entry-link aria-label="post link to Greek Media Monitoring Kaggle competition: My approach" href=https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Bandcamp recommendation and discovery algorithms</h2></header><div class=entry-content><p>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</p></div><footer class=entry-footer><span title='2014-09-19 14:26:55 +0000 UTC'>September 19, 2014</span></footer><a class=entry-link aria-label="post link to Bandcamp recommendation and discovery algorithms" href=https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>How to (almost) win Kaggle competitions</h2></header><div class=entry-content><p>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-08-24 12:40:53 +0000 UTC'>August 24, 2014</span></footer><a class=entry-link aria-label="post link to How to (almost) win Kaggle competitions" href=https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Data’s hierarchy of needs</h2></header><div class=entry-content><p>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.</p></div><footer class=entry-footer><span title='2014-08-17 13:09:30 +0000 UTC'>August 17, 2014</span></footer><a class=entry-link aria-label="post link to Data’s hierarchy of needs" href=https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Kaggle competition tips and summaries</h2></header><div class=entry-content><p>Pointers to all my Kaggle advice posts and competition summaries.</p></div><footer class=entry-footer><span title='2014-04-05 23:46:10 +0000 UTC'>April 5, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle competition tips and summaries" href=https://yanirseroussi.com/kaggle/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Kaggle beginner tips</h2></header><div class=entry-content><p>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-01-19 10:34:28 +0000 UTC'>January 19, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle beginner tips" href=https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
+"></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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" 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href=https://yanirseroussi.com/posts/ title=Posts><span>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>data science</h1></header><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>New decade, new tagline: Data & AI for Nature</h2></header><div class=entry-content><p>Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.</p></div><footer class=entry-footer><span title='2024-01-18 00:00:00 +0000 UTC'>January 18, 2024</span></footer><a class=entry-link aria-label="post link to New decade, new tagline: Data & AI for Nature" href=https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Positioning is a common problem for data scientists</h2></header><div class=entry-content><p>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</p></div><footer class=entry-footer><span title='2023-12-18 00:30:00 +0000 UTC'>December 18, 2023</span></footer><a class=entry-link aria-label="post link to Positioning is a common problem for data scientists" href=https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>You don't need a proprietary API for static maps</h2></header><div class=entry-content><p>For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.</p></div><footer class=entry-footer><span title='2023-11-21 06:00:00 +0000 UTC'>November 21, 2023</span></footer><a class=entry-link aria-label="post link to You don't need a proprietary API for static maps" href=https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Lessons from reluctant data engineering</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2023-10-25 04:45:00 +0000 UTC'>October 25, 2023</span></footer><a class=entry-link aria-label="post link to Lessons from reluctant data engineering" href=https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Google's Rules of Machine Learning still apply in the age of large language models</h2></header><div class=entry-content><p>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</p></div><footer class=entry-footer><span title='2023-09-21 21:30:00 +0000 UTC'>September 21, 2023</span></footer><a class=entry-link aria-label="post link to Google's Rules of Machine Learning still apply in the age of large language models" href=https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Was data science a failure mode of software engineering?</h2></header><div class=entry-content><p>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</p></div><footer class=entry-footer><span title='2023-06-30 00:06:30 +0000 UTC'>June 30, 2023</span></footer><a class=entry-link aria-label="post link to Was data science a failure mode of software engineering?" href=https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Causal Machine Learning is off to a good start, despite some issues</h2></header><div class=entry-content><p>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</p></div><footer class=entry-footer><span title='2022-09-12 02:45:00 +0000 UTC'>September 12, 2022</span></footer><a class=entry-link aria-label="post link to Causal Machine Learning is off to a good start, despite some issues" href=https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Building useful machine learning tools keeps getting easier: A fish ID case study</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2022-03-20 04:30:00 +0000 UTC'>March 20, 2022</span></footer><a class=entry-link aria-label="post link to Building useful machine learning tools keeps getting easier: A fish ID case study" href=https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials</h2></header><div class=entry-content><p>Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.</p></div><footer class=entry-footer><span title='2022-01-14 00:05:40 +0000 UTC'>January 14, 2022</span></footer><a class=entry-link aria-label="post link to Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials" href=https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Use your human brain to avoid artificial intelligence disasters</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2021-11-22 03:45:00 +0000 UTC'>November 22, 2021</span></footer><a class=entry-link aria-label="post link to Use your human brain to avoid artificial intelligence disasters" href=https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My work with Automattic</h2></header><div class=entry-content><p>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.</p></div><footer class=entry-footer><span title='2021-10-07 00:00:00 +0000 UTC'>October 7, 2021</span></footer><a class=entry-link aria-label="post link to My work with Automattic" href=https://yanirseroussi.com/2021/10/07/my-work-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Many is not enough: Counting simulations to bootstrap the right way</h2></header><div class=entry-content><p>Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2020-08-24 01:35:17 +0000 UTC'>August 24, 2020</span></footer><a class=entry-link aria-label="post link to Many is not enough: Counting simulations to bootstrap the right way" href=https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Software commodities are eating interesting data science work</h2></header><div class=entry-content><p>Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?</p></div><footer class=entry-footer><span title='2020-01-11 09:22:35 +0000 UTC'>January 11, 2020</span></footer><a class=entry-link aria-label="post link to Software commodities are eating interesting data science work" href=https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>A day in the life of a remote data scientist</h2></header><div class=entry-content><p>Video of a talk I gave on remote data science work at the Data Science Sydney meetup.</p></div><footer class=entry-footer><span title='2019-12-11 22:06:19 +0000 UTC'>December 11, 2019</span></footer><a class=entry-link aria-label="post link to A day in the life of a remote data scientist" href=https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Bootstrapping the right way?</h2></header><div class=entry-content><p>Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.</p></div><footer class=entry-footer><span title='2019-10-06 06:48:07 +0000 UTC'>October 6, 2019</span></footer><a class=entry-link aria-label="post link to Bootstrapping the right way?" href=https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Hackers beware: Bootstrap sampling may be harmful</h2></header><div class=entry-content><p>Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.</p></div><footer class=entry-footer><span title='2019-01-07 21:07:56 +0000 UTC'>January 7, 2019</span></footer><a class=entry-link aria-label="post link to Hackers beware: Bootstrap sampling may be harmful" href=https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The most practical causal inference book I’ve read (is still a draft)</h2></header><div class=entry-content><p>Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.</p></div><footer class=entry-footer><span title='2018-12-24 02:37:50 +0000 UTC'>December 24, 2018</span></footer><a class=entry-link aria-label="post link to The most practical causal inference book I’ve read (is still a draft)" href=https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Reflections on remote data science work</h2></header><div class=entry-content><p>Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.</p></div><footer class=entry-footer><span title='2018-11-03 06:33:13 +0000 UTC'>November 3, 2018</span></footer><a class=entry-link aria-label="post link to Reflections on remote data science work" href=https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Defining data science in 2018</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2018-07-22 08:27:43 +0000 UTC'>July 22, 2018</span></footer><a class=entry-link aria-label="post link to Defining data science in 2018" href=https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Advice for aspiring data scientists and other FAQs</h2></header><div class=entry-content><p>Frequently asked questions by visitors to this site, especially around entering the data science field.</p></div><footer class=entry-footer><span title='2017-10-15 09:15:25 +0000 UTC'>October 15, 2017</span></footer><a class=entry-link aria-label="post link to Advice for aspiring data scientists and other FAQs" href=https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My 10-step path to becoming a remote data scientist with Automattic</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2017-07-29 05:39:26 +0000 UTC'>July 29, 2017</span></footer><a class=entry-link aria-label="post link to My 10-step path to becoming a remote data scientist with Automattic" href=https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Exploring and visualising Reef Life Survey data</h2></header><div class=entry-content><p>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</p></div><footer class=entry-footer><span title='2017-06-03 00:49:05 +0000 UTC'>June 3, 2017</span></footer><a class=entry-link aria-label="post link to Exploring and visualising Reef Life Survey data" href=https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Customer lifetime value and the proliferation of misinformation on the internet</h2></header><div class=entry-content><p>There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.</p></div><footer class=entry-footer><span title='2017-01-08 20:02:30 +0000 UTC'>January 8, 2017</span></footer><a class=entry-link aria-label="post link to Customer lifetime value and the proliferation of misinformation on the internet" href=https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Ask Why! Finding motives, causes, and purpose in data science</h2></header><div class=entry-content><p>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.</p></div><footer class=entry-footer><span title='2016-09-19 21:28:44 +0000 UTC'>September 19, 2016</span></footer><a class=entry-link aria-label="post link to Ask Why! Finding motives, causes, and purpose in data science" href=https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>If you don’t pay attention, data can drive you off a cliff</h2></header><div class=entry-content><p>Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.</p></div><footer class=entry-footer><span title='2016-08-21 21:34:17 +0000 UTC'>August 21, 2016</span></footer><a class=entry-link aria-label="post link to If you don’t pay attention, data can drive you off a cliff" href=https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Is Data Scientist a useless job title?</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2016-08-04 22:26:03 +0000 UTC'>August 4, 2016</span></footer><a class=entry-link aria-label="post link to Is Data Scientist a useless job title?" href=https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Making Bayesian A/B testing more accessible</h2></header><div class=entry-content><p>A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.</p></div><footer class=entry-footer><span title='2016-06-19 10:32:15 +0000 UTC'>June 19, 2016</span></footer><a class=entry-link aria-label="post link to Making Bayesian A/B testing more accessible" href=https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions</h2></header><div class=entry-content><p>Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.</p></div><footer class=entry-footer><span title='2016-05-14 19:57:03 +0000 UTC'>May 14, 2016</span></footer><a class=entry-link aria-label="post link to Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions" href=https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The rise of greedy robots</h2></header><div class=entry-content><p>Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.</p></div><footer class=entry-footer><span title='2016-03-20 20:33:43 +0000 UTC'>March 20, 2016</span></footer><a class=entry-link aria-label="post link to The rise of greedy robots" href=https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Why you should stop worrying about deep learning and deepen your understanding of causality instead</h2></header><div class=entry-content><p>Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.</p></div><footer class=entry-footer><span title='2016-02-14 11:04:11 +0000 UTC'>February 14, 2016</span></footer><a class=entry-link aria-label="post link to Why you should stop worrying about deep learning and deepen your understanding of causality instead" href=https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>This holiday season, give me real insights</h2></header><div class=entry-content><p>Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.</p></div><footer class=entry-footer><span title='2015-12-08 06:57:25 +0000 UTC'>December 8, 2015</span></footer><a class=entry-link aria-label="post link to This holiday season, give me real insights" href=https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The hardest parts of data science</h2></header><div class=entry-content><p>Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.</p></div><footer class=entry-footer><span title='2015-11-23 04:14:21 +0000 UTC'>November 23, 2015</span></footer><a class=entry-link aria-label="post link to The hardest parts of data science" href=https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</h2></header><div class=entry-content><p>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</p></div><footer class=entry-footer><span title='2015-10-19 00:02:32 +0000 UTC'>October 19, 2015</span></footer><a class=entry-link aria-label="post link to Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling" href=https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The wonderful world of recommender systems</h2></header><div class=entry-content><p>Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.</p></div><footer class=entry-footer><span title='2015-10-02 05:25:57 +0000 UTC'>October 2, 2015</span></footer><a class=entry-link aria-label="post link to The wonderful world of recommender systems" href=https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>You don’t need a data scientist (yet)</h2></header><div class=entry-content><p>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</p></div><footer class=entry-footer><span title='2015-08-24 08:25:30 +0000 UTC'>August 24, 2015</span></footer><a class=entry-link aria-label="post link to You don’t need a data scientist (yet)" href=https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Learning about deep learning through album cover classification</h2></header><div class=entry-content><p>Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.</p></div><footer class=entry-footer><span title='2015-07-06 22:21:42 +0000 UTC'>July 6, 2015</span></footer><a class=entry-link aria-label="post link to Learning about deep learning through album cover classification" href=https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Hopping on the deep learning bandwagon</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-06-06 05:00:22 +0000 UTC'>June 6, 2015</span></footer><a class=entry-link aria-label="post link to Hopping on the deep learning bandwagon" href=https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>First steps in data science: author-aware sentiment analysis</h2></header><div class=entry-content><p>I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.</p></div><footer class=entry-footer><span title='2015-05-02 08:31:10 +0000 UTC'>May 2, 2015</span></footer><a class=entry-link aria-label="post link to First steps in data science: author-aware sentiment analysis" href=https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My PhD work</h2></header><div class=entry-content><p>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</p></div><footer class=entry-footer><span title='2015-03-30 03:23:33 +0000 UTC'>March 30, 2015</span></footer><a class=entry-link aria-label="post link to My PhD work" href=https://yanirseroussi.com/phd-work/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The long road to a lifestyle business</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-03-22 09:43:47 +0000 UTC'>March 22, 2015</span></footer><a class=entry-link aria-label="post link to The long road to a lifestyle business" href=https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)</h2></header><div class=entry-content><p>My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-02-11 06:34:17 +0000 UTC'>February 11, 2015</span></footer><a class=entry-link aria-label="post link to Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)" href=https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)</h2></header><div class=entry-content><p>Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).</p></div><footer class=entry-footer><span title='2015-01-29 10:37:39 +0000 UTC'>January 29, 2015</span></footer><a class=entry-link aria-label="post link to Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)" href=https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Stochastic Gradient Boosting: Choosing the Best Number of Iterations</h2></header><div class=entry-content><p>Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.</p></div><footer class=entry-footer><span title='2014-12-29 02:30:06 +0000 UTC'>December 29, 2014</span></footer><a class=entry-link aria-label="post link to Stochastic Gradient Boosting: Choosing the Best Number of Iterations" href=https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)</h2></header><div class=entry-content><p>Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.</p></div><footer class=entry-footer><span title='2014-11-19 09:17:34 +0000 UTC'>November 19, 2014</span></footer><a class=entry-link aria-label="post link to Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)" href=https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>What is data science?</h2></header><div class=entry-content><p>Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.</p></div><footer class=entry-footer><span title='2014-10-23 03:22:08 +0000 UTC'>October 23, 2014</span></footer><a class=entry-link aria-label="post link to What is data science?" href=https://yanirseroussi.com/2014/10/23/what-is-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Greek Media Monitoring Kaggle competition: My approach</h2></header><div class=entry-content><p>Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.</p></div><footer class=entry-footer><span title='2014-10-07 03:21:35 +0000 UTC'>October 7, 2014</span></footer><a class=entry-link aria-label="post link to Greek Media Monitoring Kaggle competition: My approach" href=https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Bandcamp recommendation and discovery algorithms</h2></header><div class=entry-content><p>The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.</p></div><footer class=entry-footer><span title='2014-09-19 14:26:55 +0000 UTC'>September 19, 2014</span></footer><a class=entry-link aria-label="post link to Bandcamp recommendation and discovery algorithms" href=https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>How to (almost) win Kaggle competitions</h2></header><div class=entry-content><p>Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-08-24 12:40:53 +0000 UTC'>August 24, 2014</span></footer><a class=entry-link aria-label="post link to How to (almost) win Kaggle competitions" href=https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Data’s hierarchy of needs</h2></header><div class=entry-content><p>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.</p></div><footer class=entry-footer><span title='2014-08-17 13:09:30 +0000 UTC'>August 17, 2014</span></footer><a class=entry-link aria-label="post link to Data’s hierarchy of needs" href=https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Kaggle competition tips and summaries</h2></header><div class=entry-content><p>Pointers to all my Kaggle advice posts and competition summaries.</p></div><footer class=entry-footer><span title='2014-04-05 23:46:10 +0000 UTC'>April 5, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle competition tips and summaries" href=https://yanirseroussi.com/kaggle/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Kaggle beginner tips</h2></header><div class=entry-content><p>First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.</p></div><footer class=entry-footer><span title='2014-01-19 10:34:28 +0000 UTC'>January 19, 2014</span></footer><a class=entry-link aria-label="post link to Kaggle beginner tips" href=https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
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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"><channel><title>data science on Yanir Seroussi | Data &amp; AI for Nature</title><link>https://yanirseroussi.com/tags/data-science/</link><description>Recent content in data science on Yanir Seroussi | Data &amp; AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><lastBuildDate>Mon, 18 Dec 2023 00:30:00 +0000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/data-science/index.xml" rel="self" type="application/rss+xml"/><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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AI for Nature&amp;rsquo;, with more nature-positive 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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-"></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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" 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 xmlns="http://www.w3.org/2000/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=Posts><span>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>environment</h1></header><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Psychographic specialisations may work for discipline generalists</h2></header><div class=entry-content><p>When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.</p></div><footer class=entry-footer><span title='2024-01-09 03:00:00 +0000 UTC'>January 9, 2024</span></footer><a class=entry-link aria-label="post link to Psychographic specialisations may work for discipline generalists" href=https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Our Blue Machine is changing, but we are not helpless</h2></header><div class=entry-content><p>One of my many highlights from Helen Czerski’s Blue Machine.</p></div><footer class=entry-footer><span title='2023-11-28 06:40:00 +0000 UTC'>November 28, 2023</span></footer><a class=entry-link aria-label="post link to Our Blue Machine is changing, but we are not helpless" href=https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My work with Automattic</h2></header><div class=entry-content><p>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.</p></div><footer class=entry-footer><span title='2021-10-07 00:00:00 +0000 UTC'>October 7, 2021</span></footer><a class=entry-link aria-label="post link to My work with Automattic" href=https://yanirseroussi.com/2021/10/07/my-work-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Some highlights from 2020</h2></header><div class=entry-content><p>Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.</p></div><footer class=entry-footer><span title='2021-04-05 06:41:48 +0000 UTC'>April 5, 2021</span></footer><a class=entry-link aria-label="post link to Some highlights from 2020" href=https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Exploring and visualising Reef Life Survey data</h2></header><div class=entry-content><p>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</p></div><footer class=entry-footer><span title='2017-06-03 00:49:05 +0000 UTC'>June 3, 2017</span></footer><a class=entry-link aria-label="post link to Exploring and visualising Reef Life Survey data" href=https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My divestment from fossil fuels</h2></header><div class=entry-content><p>Recent choices I’ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</p></div><footer class=entry-footer><span title='2015-04-24 00:19:36 +0000 UTC'>April 24, 2015</span></footer><a class=entry-link aria-label="post link to My divestment from fossil fuels" href=https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
+"></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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" 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href=https://yanirseroussi.com/posts/ title=Posts><span>Posts</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consulting><span>Consulting</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>environment</h1></header><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>New decade, new tagline: Data & AI for Nature</h2></header><div class=entry-content><p>Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.</p></div><footer class=entry-footer><span title='2024-01-18 00:00:00 +0000 UTC'>January 18, 2024</span></footer><a class=entry-link aria-label="post link to New decade, new tagline: Data & AI for Nature" href=https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Psychographic specialisations may work for discipline generalists</h2></header><div class=entry-content><p>When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.</p></div><footer class=entry-footer><span title='2024-01-09 03:00:00 +0000 UTC'>January 9, 2024</span></footer><a class=entry-link aria-label="post link to Psychographic specialisations may work for discipline generalists" href=https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Our Blue Machine is changing, but we are not helpless</h2></header><div class=entry-content><p>One of my many highlights from Helen Czerski’s Blue Machine.</p></div><footer class=entry-footer><span title='2023-11-28 06:40:00 +0000 UTC'>November 28, 2023</span></footer><a class=entry-link aria-label="post link to Our Blue Machine is changing, but we are not helpless" href=https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My work with Automattic</h2></header><div class=entry-content><p>Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.</p></div><footer class=entry-footer><span title='2021-10-07 00:00:00 +0000 UTC'>October 7, 2021</span></footer><a class=entry-link aria-label="post link to My work with Automattic" href=https://yanirseroussi.com/2021/10/07/my-work-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Some highlights from 2020</h2></header><div class=entry-content><p>Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.</p></div><footer class=entry-footer><span title='2021-04-05 06:41:48 +0000 UTC'>April 5, 2021</span></footer><a class=entry-link aria-label="post link to Some highlights from 2020" href=https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Exploring and visualising Reef Life Survey data</h2></header><div class=entry-content><p>Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.</p></div><footer class=entry-footer><span title='2017-06-03 00:49:05 +0000 UTC'>June 3, 2017</span></footer><a class=entry-link aria-label="post link to Exploring and visualising Reef Life Survey data" href=https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My divestment from fossil fuels</h2></header><div class=entry-content><p>Recent choices I’ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.</p></div><footer class=entry-footer><span title='2015-04-24 00:19:36 +0000 UTC'>April 24, 2015</span></footer><a class=entry-link aria-label="post link to My divestment from fossil fuels" href=https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" 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diff --git a/tags/environment/index.xml b/tags/environment/index.xml
index 62ce5ec97..9f378ee68 100644
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href=https://yanirseroussi.com/tags/bcrecommender/>BCRecommender <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/blogging/>blogging <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/bootstrapping/>bootstrapping <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/business/>business <sup><strong><sup>17</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/career/>career <sup><strong><sup>20</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/causal-inference/>causal inference <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/climate-change/>climate change <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/cloudflare/>Cloudflare <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/confidence-intervals/>confidence intervals <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-business/>data business <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-engineering/>data engineering <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-science/>data science <sup><strong><sup>52</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-visualisation/>data visualisation <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/deep-learning/>deep learning <sup><strong><sup>7</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/devops/>DevOps <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/divestment/>divestment <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/economics/>economics <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/elasticsearch/>Elasticsearch <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/energy-markets/>energy markets <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/environment/>environment <sup><strong><sup>8</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/ethics/>ethics <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/facebook/>Facebook <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/fast.ai/>fast.ai <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/fossil-fuels/>fossil fuels <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/frequently-asked-questions/>frequently asked questions <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/futurism/>futurism <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/github/>GitHub <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/gradient-boosting/>gradient boosting <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/hackers/>hackers <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/health/>health <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/hugo/>Hugo <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/insights/>insights <sup><strong><sup>4</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/javascript/>JavaScript <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/kaggle/>Kaggle <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/kaggle-beginners/>Kaggle beginners <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/kaggle-competition/>Kaggle competition <sup><strong><sup>6</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/linkedin/>LinkedIn <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/machine-intelligence/>machine intelligence <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/machine-learning/>machine learning <sup><strong><sup>19</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/marine-science/>marine science <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/marketing/>marketing <sup><strong><sup>14</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/mongodb/>MongoDB <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/multi-label-classification/>multi-label classification <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/music/>music <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/music-industry/>music industry <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/nutrition/>nutrition <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/nutritionism/>nutritionism <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/orkestra/>Orkestra <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/parse.com/>parse.com <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/personal/>personal <sup><strong><sup>12</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/phantomjs/>PhantomJS <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/politics/>politics <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/predictive-modelling/>predictive modelling <sup><strong><sup>19</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/price-forecasting/>price forecasting <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/productivity/>productivity <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/quotes/>quotes <sup><strong><sup>6</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/recommender-systems/>recommender systems <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/reef-life-survey/>Reef Life Survey <sup><strong><sup>7</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/remote-work/>remote work <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/science-communication/>science communication <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/scikit-learn/>scikit-learn <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/scuba-diving/>scuba diving <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/search-engine-optimisation/>search engine optimisation <sup><strong><sup>4</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/security/>security <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/sentiment-analysis/>sentiment analysis <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/software-engineering/>software engineering <sup><strong><sup>20</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/statistics/>statistics <sup><strong><sup>10</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/sustainability/>sustainability <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/traction-book/>traction book <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/web-development/>web development <sup><strong><sup>6</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/wordpress/>WordPress <sup><strong><sup>4</sup></strong></sup></a></li></ul></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list 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+"></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 Nature (Alt + H)">Yanir Seroussi | Data & AI for Nature</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" 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" xmlns="http://www.w3.org/2000/svg" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" 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href=https://yanirseroussi.com/tags/bcrecommender/>BCRecommender <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/blogging/>blogging <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/bootstrapping/>bootstrapping <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/business/>business <sup><strong><sup>17</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/career/>career <sup><strong><sup>20</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/causal-inference/>causal inference <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/climate-change/>climate change <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/cloudflare/>Cloudflare <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/confidence-intervals/>confidence intervals <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-business/>data business <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-engineering/>data engineering <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-science/>data science <sup><strong><sup>53</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/data-visualisation/>data visualisation <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/deep-learning/>deep learning <sup><strong><sup>7</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/devops/>DevOps <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/divestment/>divestment <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/economics/>economics <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/elasticsearch/>Elasticsearch <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/energy-markets/>energy markets <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/environment/>environment <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/ethics/>ethics <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/facebook/>Facebook <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/fast.ai/>fast.ai <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/fossil-fuels/>fossil fuels <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/frequently-asked-questions/>frequently asked questions <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/futurism/>futurism <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/github/>GitHub <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/gradient-boosting/>gradient boosting <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/hackers/>hackers <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/health/>health <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/hugo/>Hugo <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/insights/>insights <sup><strong><sup>4</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/javascript/>JavaScript <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/kaggle/>Kaggle <sup><strong><sup>9</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/kaggle-beginners/>Kaggle beginners <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/kaggle-competition/>Kaggle competition <sup><strong><sup>6</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/linkedin/>LinkedIn <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/machine-intelligence/>machine intelligence <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/machine-learning/>machine learning <sup><strong><sup>19</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/marine-science/>marine science <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/marketing/>marketing <sup><strong><sup>14</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/mongodb/>MongoDB <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/multi-label-classification/>multi-label classification <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/music/>music <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/music-industry/>music industry <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/nutrition/>nutrition <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/nutritionism/>nutritionism <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/orkestra/>Orkestra <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/parse.com/>parse.com <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/personal/>personal <sup><strong><sup>13</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/phantomjs/>PhantomJS <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/politics/>politics <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/predictive-modelling/>predictive modelling <sup><strong><sup>19</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/price-forecasting/>price forecasting <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/productivity/>productivity <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/quotes/>quotes <sup><strong><sup>6</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/recommender-systems/>recommender systems <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/reef-life-survey/>Reef Life Survey <sup><strong><sup>7</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/remote-work/>remote work <sup><strong><sup>5</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/science-communication/>science communication <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/scikit-learn/>scikit-learn <sup><strong><sup>2</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/scuba-diving/>scuba diving <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/search-engine-optimisation/>search engine optimisation <sup><strong><sup>4</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/security/>security <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/sentiment-analysis/>sentiment analysis <sup><strong><sup>1</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/software-engineering/>software engineering <sup><strong><sup>20</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/statistics/>statistics <sup><strong><sup>10</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/sustainability/>sustainability <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/traction-book/>traction book <sup><strong><sup>3</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/web-development/>web development <sup><strong><sup>6</sup></strong></sup></a></li><li><a href=https://yanirseroussi.com/tags/wordpress/>WordPress <sup><strong><sup>4</sup></strong></sup></a></li></ul></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list 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diff --git a/tags/index.xml b/tags/index.xml
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--- a/tags/index.xml
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href=https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The lines between solo consulting and product building are blurry</h2></header><div class=entry-content><p>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</p></div><footer class=entry-footer><span title='2023-09-25 00:00:00 +0000 UTC'>September 25, 2023</span></footer><a class=entry-link aria-label="post link to The lines between solo consulting and product building are blurry" href=https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My rediscovery of quiet writing on the open web</h2></header><div class=entry-content><p>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</p></div><footer class=entry-footer><span title='2023-08-28 05:30:00 +0000 UTC'>August 28, 2023</span></footer><a class=entry-link aria-label="post link to My rediscovery of quiet writing on the open web" href=https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The Minimalist Entrepreneur is too prescriptive for me</h2></header><div class=entry-content><p>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.</p></div><footer class=entry-footer><span title='2023-08-21 03:15:00 +0000 UTC'>August 21, 2023</span></footer><a class=entry-link aria-label="post link to The Minimalist Entrepreneur is too prescriptive for me" href=https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</h2></header><div class=entry-content><p>A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.</p></div><footer class=entry-footer><span title='2023-08-17 07:45:00 +0000 UTC'>August 17, 2023</span></footer><a class=entry-link aria-label="post link to Revisiting Start Small, Stay Small in 2023 (Chapter 2)" href=https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</h2></header><div class=entry-content><p>A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.</p></div><footer class=entry-footer><span title='2023-08-16 05:45:00 +0000 UTC'>August 16, 2023</span></footer><a class=entry-link aria-label="post link to Revisiting Start Small, Stay Small in 2023 (Chapter 1)" href=https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>You can't save time</h2></header><div class=entry-content><p>Time can be spent doing different activities, but it can’t be stored and saved for later.</p></div><footer class=entry-footer><span title='2023-07-11 00:00:00 +0000 UTC'>July 11, 2023</span></footer><a class=entry-link aria-label="post link to You can't save time" href=https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My 10-step path to becoming a remote data scientist with Automattic</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2017-07-29 05:39:26 +0000 UTC'>July 29, 2017</span></footer><a class=entry-link aria-label="post link to My 10-step path to becoming a remote data scientist with Automattic" href=https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Ask Why! Finding motives, causes, and purpose in data science</h2></header><div class=entry-content><p>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.</p></div><footer class=entry-footer><span title='2016-09-19 21:28:44 +0000 UTC'>September 19, 2016</span></footer><a class=entry-link aria-label="post link to Ask Why! Finding motives, causes, and purpose in data science" href=https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The long road to a lifestyle business</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-03-22 09:43:47 +0000 UTC'>March 22, 2015</span></footer><a class=entry-link aria-label="post link to The long road to a lifestyle business" href=https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
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tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Psychographic specialisations may work for discipline generalists</h2></header><div class=entry-content><p>When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.</p></div><footer class=entry-footer><span title='2024-01-09 03:00:00 +0000 UTC'>January 9, 2024</span></footer><a class=entry-link aria-label="post link to Psychographic specialisations may work for discipline generalists" href=https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The lines between solo consulting and product building are blurry</h2></header><div class=entry-content><p>It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.</p></div><footer class=entry-footer><span title='2023-09-25 00:00:00 +0000 UTC'>September 25, 2023</span></footer><a class=entry-link aria-label="post link to The lines between solo consulting and product building are blurry" href=https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My rediscovery of quiet writing on the open web</h2></header><div class=entry-content><p>Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.</p></div><footer class=entry-footer><span title='2023-08-28 05:30:00 +0000 UTC'>August 28, 2023</span></footer><a class=entry-link aria-label="post link to My rediscovery of quiet writing on the open web" href=https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The Minimalist Entrepreneur is too prescriptive for me</h2></header><div class=entry-content><p>While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.</p></div><footer class=entry-footer><span title='2023-08-21 03:15:00 +0000 UTC'>August 21, 2023</span></footer><a class=entry-link aria-label="post link to The Minimalist Entrepreneur is too prescriptive for me" href=https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Revisiting Start Small, Stay Small in 2023 (Chapter 2)</h2></header><div class=entry-content><p>A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.</p></div><footer class=entry-footer><span title='2023-08-17 07:45:00 +0000 UTC'>August 17, 2023</span></footer><a class=entry-link aria-label="post link to Revisiting Start Small, Stay Small in 2023 (Chapter 2)" href=https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Revisiting Start Small, Stay Small in 2023 (Chapter 1)</h2></header><div class=entry-content><p>A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.</p></div><footer class=entry-footer><span title='2023-08-16 05:45:00 +0000 UTC'>August 16, 2023</span></footer><a class=entry-link aria-label="post link to Revisiting Start Small, Stay Small in 2023 (Chapter 1)" href=https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>You can't save time</h2></header><div class=entry-content><p>Time can be spent doing different activities, but it can’t be stored and saved for later.</p></div><footer class=entry-footer><span title='2023-07-11 00:00:00 +0000 UTC'>July 11, 2023</span></footer><a class=entry-link aria-label="post link to You can't save time" href=https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The mission matters: Moving to climate tech as a data scientist</h2></header><div class=entry-content><p>Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.</p></div><footer class=entry-footer><span title='2022-06-06 00:00:00 +0000 UTC'>June 6, 2022</span></footer><a class=entry-link aria-label="post link to The mission matters: Moving to climate tech as a data scientist" href=https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>My 10-step path to becoming a remote data scientist with Automattic</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2017-07-29 05:39:26 +0000 UTC'>July 29, 2017</span></footer><a class=entry-link aria-label="post link to My 10-step path to becoming a remote data scientist with Automattic" href=https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>Ask Why! Finding motives, causes, and purpose in data science</h2></header><div class=entry-content><p>Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.</p></div><footer class=entry-footer><span title='2016-09-19 21:28:44 +0000 UTC'>September 19, 2016</span></footer><a class=entry-link aria-label="post link to Ask Why! Finding motives, causes, and purpose in data science" href=https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The joys of offline data collection</h2></header><div class=entry-content><p>Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.</p></div><footer class=entry-footer><span title='2016-01-24 00:32:25 +0000 UTC'>January 24, 2016</span></footer><a class=entry-link aria-label="post link to The joys of offline data collection" href=https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2 class=entry-hint-parent>The long road to a lifestyle business</h2></header><div class=entry-content><p>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.</p></div><footer class=entry-footer><span title='2015-03-22 09:43:47 +0000 UTC'>March 22, 2015</span></footer><a class=entry-link aria-label="post link to The long road to a lifestyle business" href=https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/></a></article></main><a href=/contact/#mailing-list-email target=_blank aria-label="subscribe to mailing list" class=mailing-list-link id=mailing-list-link>Subscribe</a><div class=mailing-list-container><form class=mailing-list action="https://yanirseroussi.us17.list-manage.com/subscribe/post?u=3c08aa3ff27dd92978019febd&amp;id=bc3ab705af" method=post target=_blank novalidate><label for=mailing-list-email>Get new posts in your mailbox</label>
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