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 new file mode 100644 index 000000000..877beb046 Binary files /dev/null and b/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/data-and-ai-for-nature-logo.png differ diff --git a/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 b/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 new file mode 100644 index 000000000..2eefa6c36 Binary files /dev/null and b/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 differ diff --git a/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 b/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 new file mode 100644 index 000000000..1c17d872b Binary files /dev/null and b/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 differ diff --git a/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 b/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 new file mode 100644 index 000000000..ba6bc5808 Binary files /dev/null and b/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 differ diff --git a/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 b/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 new file mode 100644 index 000000000..f5d0b5d00 Binary files /dev/null and b/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 differ diff --git a/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 b/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 new file mode 100644 index 000000000..96eba0fed Binary files /dev/null and b/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 differ 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 new file mode 100644 index 000000000..1cc1f6cb2 --- /dev/null +++ b/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/index.html @@ -0,0 +1,7 @@ +New decade, new tagline: Data & AI for Nature | Yanir Seroussi | Data & AI for Nature +

New decade, new tagline: Data & AI for Nature

January 18, 2024
Logo of Yanir Seroussi's consulting services, depicting a wave and an up-and-to-the-right graph.

Exactly a decade ago, on 19th January 2014, I published my first post on this website (Kaggle beginner tips). 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).

While 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 & 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.

Recently, I switched the tagline to be both broader and narrower: Data & AI for Nature. With this change, I’m also aiming to revitalise my approach to publishing and audience engagement.

What does this mean in terms of focus areas?

  • Still publish technical and high-level posts on Data & AI.
  • Aim to highlight nature-positive applications of Data & AI tech.

More importantly, I’d like to improve some things around posting and engagement:

  • Produce content that’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).
  • 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:

  • Series 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 & 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.

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’d like to focus on positive applications of Data & AI tech that make our world better (in the spirit of publications like Volts).

Call to action:

  • If 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.

Public comments are closed, but I love hearing from readers. Feel free to +contact me with your thoughts.

Subscribe
+
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +Powered by +Hugo & + PaperMod
\ No newline at end of file diff --git a/index.xml b/index.xml index d62253e28..647197c4d 100644 --- a/index.xml +++ b/index.xml @@ -1,4 +1,4 @@ -Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/Recent content on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseTue, 09 Jan 2024 03:00:00 +0000Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.The power of parasocial relationshipshttps://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Mon, 08 Jan 2024 06:00:00 +0000https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Repeated exposure to media personas creates relationships that help justify premium fees.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.Transfer learning applies to energy market biddinghttps://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.Our Blue Machine is changing, but we are not helplesshttps://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/Tue, 28 Nov 2023 06:40:00 +0000https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/One of my many highlights from Helen Czerski’s Blue Machine.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/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.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.Email notifications on public GitHub commitshttps://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/Mon, 14 Aug 2023 05:15:00 +0000https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.The rule of thirds can probably be ignoredhttps://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Fri, 11 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Turns out that the rule of thirds for composing visuals may not be that important.Using YubiKey for SSH accesshttps://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.Making a TIL section with Hugo and PaperModhttps://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/How I added a Today I Learned section to my Hugo site with the PaperMod theme.You can't save timehttps://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Tue, 11 Jul 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Time can be spent doing different activities, but it can’t be stored and saved for later.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/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).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/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.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Deep learning resourceshttps://yanirseroussi.com/deep-learning-resources/Mon, 06 Jul 2015 00:38:44 +0000https://yanirseroussi.com/deep-learning-resources/This page summarises the deep learning resources I’ve consulted in my album cover classification project. +Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/Recent content on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000New decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.The power of parasocial relationshipshttps://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Mon, 08 Jan 2024 06:00:00 +0000https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Repeated exposure to media personas creates relationships that help justify premium fees.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.Transfer learning applies to energy market biddinghttps://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.Our Blue Machine is changing, but we are not helplesshttps://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/Tue, 28 Nov 2023 06:40:00 +0000https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/One of my many highlights from Helen Czerski’s Blue Machine.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/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.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.Email notifications on public GitHub commitshttps://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/Mon, 14 Aug 2023 05:15:00 +0000https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.The rule of thirds can probably be ignoredhttps://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Fri, 11 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Turns out that the rule of thirds for composing visuals may not be that important.Using YubiKey for SSH accesshttps://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.Making a TIL section with Hugo and PaperModhttps://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/How I added a Today I Learned section to my Hugo site with the PaperMod theme.You can't save timehttps://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Tue, 11 Jul 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Time can be spent doing different activities, but it can’t be stored and saved for later.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/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).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/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.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Deep learning resourceshttps://yanirseroussi.com/deep-learning-resources/Mon, 06 Jul 2015 00:38:44 +0000https://yanirseroussi.com/deep-learning-resources/This page summarises the deep learning resources I’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’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’s documentation and tutorials: still a bit lacking, but good when you know what you’re looking for lasagne4newbs: Lasagne’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.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/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.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/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.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/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.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/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.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.About Mehttps://yanirseroussi.com/about/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/about/About Yanir Seroussi, a full-stack data scientist and software engineer with over a decade of experience.Causal inference resourceshttps://yanirseroussi.com/causal-inference-resources/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/causal-inference-resources/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’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’ decades of industry experience, this is pretty much the bible of online experiments, which is how causal inference is often done in practice.Data & AI Consulting Serviceshttps://yanirseroussi.com/consult/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/consult/Yanir Seroussi’s Data & AI consulting services, mostly targeting startups and scaleups focused on nature-positive outcomes.Stay in touchhttps://yanirseroussi.com/contact/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/contact/Contact me or subscribe to the mailing list.Talkshttps://yanirseroussi.com/talks/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/talks/Just a list of some talks I’ve given, saved here for future reference and for general public benefit. diff --git a/posts/index.html b/posts/index.html index 9b424afe2..44348905e 100644 --- a/posts/index.html +++ b/posts/index.html @@ -16,7 +16,7 @@ mailbox. ">

Browse Posts

Browse my main posts in reverse chronological order below, or by tag. You may also want to check out my shorter-form TIL (today I learned) posts.

Subscribe to the mailing list at the bottom of any page to get new posts delivered to your -mailbox.

Supporting volunteer monitoring of marine biodiversity with modern web and data tools

Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.

November 29, 2023

Lessons from reluctant data engineering

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.

October 25, 2023

My rediscovery of quiet writing on the open web

Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

August 28, 2023

Was data science a failure mode of software engineering?

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

June 30, 2023

How hackable are automated coding assessments?

Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

May 26, 2023

Remaining relevant as a small language model

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).

April 21, 2023

ChatGPT is transformative AI

My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

December 11, 2022

Causal Machine Learning is off to a good start, despite some issues

Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

September 12, 2022

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

Building useful machine learning tools keeps getting easier: A fish ID case study

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.

March 20, 2022

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

January 14, 2022

Use your human brain to avoid artificial intelligence disasters

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.

November 22, 2021

Migrating from WordPress.com to Hugo on GitHub + Cloudflare

My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.

November 10, 2021

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Some highlights from 2020

Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

April 5, 2021

Many is not enough: Counting simulations to bootstrap the right way

Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

August 24, 2020

Software commodities are eating interesting data science work

Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

January 11, 2020

A day in the life of a remote data scientist

Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

December 11, 2019

Bootstrapping the right way?

Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

October 6, 2019

Hackers beware: Bootstrap sampling may be harmful

Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

January 7, 2019

The most practical causal inference book I’ve read (is still a draft)

Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

December 24, 2018

Reflections on remote data science work

Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

November 3, 2018

Defining data science in 2018

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.

July 22, 2018

Advice for aspiring data scientists and other FAQs

Frequently asked questions by visitors to this site, especially around entering the data science field.

October 15, 2017

State of Bandcamp Recommender, Late 2017

Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.

September 2, 2017

My 10-step path to becoming a remote data scientist with Automattic

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.

July 29, 2017

Exploring and visualising Reef Life Survey data

Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

June 3, 2017

Customer lifetime value and the proliferation of misinformation on the internet

There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

January 8, 2017

Ask Why! Finding motives, causes, and purpose in data science

Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

September 19, 2016

If you don’t pay attention, data can drive you off a cliff

Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

August 21, 2016

Is Data Scientist a useless job title?

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.

August 4, 2016

Making Bayesian A/B testing more accessible

A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

June 19, 2016

Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

May 14, 2016

The rise of greedy robots

Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

March 20, 2016

Why you should stop worrying about deep learning and deepen your understanding of causality instead

Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

February 14, 2016

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

This holiday season, give me real insights

Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

December 8, 2015

The hardest parts of data science

Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

November 23, 2015

Migrating a simple web application from MongoDB to Elasticsearch

Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.

November 4, 2015

Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

October 19, 2015

The wonderful world of recommender systems

Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

October 2, 2015

You don’t need a data scientist (yet)

Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

August 24, 2015

Goodbye, Parse.com

Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.

July 31, 2015

Learning about deep learning through album cover classification

Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

July 6, 2015

Hopping on the deep learning bandwagon

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.

June 6, 2015

First steps in data science: author-aware sentiment analysis

I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

May 2, 2015

My divestment from fossil fuels

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.

April 24, 2015

My PhD work

An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

March 30, 2015

The long road to a lifestyle business

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.

March 22, 2015

Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

February 11, 2015

Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

January 29, 2015

Automating Parse.com bulk data imports

A script for importing data into the Parse backend-as-a-service.

January 15, 2015

Stochastic Gradient Boosting: Choosing the Best Number of Iterations

Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

December 29, 2014

SEO: Mostly about showing up?

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.

December 15, 2014

Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

November 19, 2014

BCRecommender Traction Update

Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

November 5, 2014

What is data science?

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.

October 23, 2014

Greek Media Monitoring Kaggle competition: My approach

Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

October 7, 2014

Applying the Traction Book’s Bullseye framework to BCRecommender

Ranking 19 channels with the goal of getting traction for BCRecommender.

September 24, 2014

Bandcamp recommendation and discovery algorithms

The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

September 19, 2014

Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)

Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.

September 7, 2014

Building a Bandcamp recommender system (part 1 – motivation)

My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.

August 30, 2014

How to (almost) win Kaggle competitions

Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

August 24, 2014

Data’s hierarchy of needs

Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

August 17, 2014

Kaggle competition tips and summaries

Pointers to all my Kaggle advice posts and competition summaries.

April 5, 2014

Kaggle beginner tips

First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

January 19, 2014
Subscribe
+mailbox.

New decade, new tagline: Data & AI for Nature

Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.

January 18, 2024

Supporting volunteer monitoring of marine biodiversity with modern web and data tools

Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.

November 29, 2023

Lessons from reluctant data engineering

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.

October 25, 2023

My rediscovery of quiet writing on the open web

Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

August 28, 2023

Was data science a failure mode of software engineering?

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

June 30, 2023

How hackable are automated coding assessments?

Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

May 26, 2023

Remaining relevant as a small language model

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).

April 21, 2023

ChatGPT is transformative AI

My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

December 11, 2022

Causal Machine Learning is off to a good start, despite some issues

Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

September 12, 2022

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

Building useful machine learning tools keeps getting easier: A fish ID case study

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.

March 20, 2022

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

January 14, 2022

Use your human brain to avoid artificial intelligence disasters

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.

November 22, 2021

Migrating from WordPress.com to Hugo on GitHub + Cloudflare

My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.

November 10, 2021

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Some highlights from 2020

Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

April 5, 2021

Many is not enough: Counting simulations to bootstrap the right way

Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

August 24, 2020

Software commodities are eating interesting data science work

Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

January 11, 2020

A day in the life of a remote data scientist

Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

December 11, 2019

Bootstrapping the right way?

Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

October 6, 2019

Hackers beware: Bootstrap sampling may be harmful

Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

January 7, 2019

The most practical causal inference book I’ve read (is still a draft)

Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

December 24, 2018

Reflections on remote data science work

Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

November 3, 2018

Defining data science in 2018

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.

July 22, 2018

Advice for aspiring data scientists and other FAQs

Frequently asked questions by visitors to this site, especially around entering the data science field.

October 15, 2017

State of Bandcamp Recommender, Late 2017

Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.

September 2, 2017

My 10-step path to becoming a remote data scientist with Automattic

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.

July 29, 2017

Exploring and visualising Reef Life Survey data

Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

June 3, 2017

Customer lifetime value and the proliferation of misinformation on the internet

There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

January 8, 2017

Ask Why! Finding motives, causes, and purpose in data science

Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

September 19, 2016

If you don’t pay attention, data can drive you off a cliff

Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

August 21, 2016

Is Data Scientist a useless job title?

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.

August 4, 2016

Making Bayesian A/B testing more accessible

A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

June 19, 2016

Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

May 14, 2016

The rise of greedy robots

Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

March 20, 2016

Why you should stop worrying about deep learning and deepen your understanding of causality instead

Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

February 14, 2016

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

This holiday season, give me real insights

Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

December 8, 2015

The hardest parts of data science

Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

November 23, 2015

Migrating a simple web application from MongoDB to Elasticsearch

Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.

November 4, 2015

Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

October 19, 2015

The wonderful world of recommender systems

Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

October 2, 2015

You don’t need a data scientist (yet)

Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

August 24, 2015

Goodbye, Parse.com

Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.

July 31, 2015

Learning about deep learning through album cover classification

Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

July 6, 2015

Hopping on the deep learning bandwagon

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.

June 6, 2015

First steps in data science: author-aware sentiment analysis

I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

May 2, 2015

My divestment from fossil fuels

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.

April 24, 2015

My PhD work

An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

March 30, 2015

The long road to a lifestyle business

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.

March 22, 2015

Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

February 11, 2015

Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

January 29, 2015

Automating Parse.com bulk data imports

A script for importing data into the Parse backend-as-a-service.

January 15, 2015

Stochastic Gradient Boosting: Choosing the Best Number of Iterations

Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

December 29, 2014

SEO: Mostly about showing up?

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.

December 15, 2014

Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

November 19, 2014

BCRecommender Traction Update

Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

November 5, 2014

What is data science?

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.

October 23, 2014

Greek Media Monitoring Kaggle competition: My approach

Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

October 7, 2014

Applying the Traction Book’s Bullseye framework to BCRecommender

Ranking 19 channels with the goal of getting traction for BCRecommender.

September 24, 2014

Bandcamp recommendation and discovery algorithms

The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

September 19, 2014

Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)

Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.

September 7, 2014

Building a Bandcamp recommender system (part 1 – motivation)

My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.

August 30, 2014

How to (almost) win Kaggle competitions

Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

August 24, 2014

Data’s hierarchy of needs

Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

August 17, 2014

Kaggle competition tips and summaries

Pointers to all my Kaggle advice posts and competition summaries.

April 5, 2014

Kaggle beginner tips

First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

January 19, 2014
Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/posts/index.xml b/posts/index.xml index 7a6455b7f..46637b848 100644 --- a/posts/index.xml +++ b/posts/index.xml @@ -1 +1 @@ -Browse Posts on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/posts/Recent content in Browse Posts on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseSupporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/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.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/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).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/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.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/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.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/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.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/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.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/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.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file +Browse Posts on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/posts/Recent content in Browse Posts on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseNew decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/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.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/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).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/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.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/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.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/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.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/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.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/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.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 085cd889b..52d64b2e2 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ -https://yanirseroussi.com/tags/business/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/career/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/environment/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/marketing/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/personal/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/2024-01-09T13:23:28+10:00https://yanirseroussi.com/tags/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2024-01-16T14:09:02+10:00https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/2024-01-08T16:31:22+10:00https://yanirseroussi.com/tags/data-business/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/2023-12-18T10:38:56+10:00https://yanirseroussi.com/tags/energy-markets/2023-12-14T10:46:41+10:00https://yanirseroussi.com/tags/machine-learning/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/quotes/2023-12-14T10:46:41+10:00https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/2023-12-14T10:46:41+10:00https://yanirseroussi.com/tags/data-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/data-visualisation/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/marine-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/reef-life-survey/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/software-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/web-development/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/2023-11-28T16:56:18+10:00https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/2023-11-21T16:12:27+10:00https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/artificial-intelligence/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/2023-10-06T15:11:27+10:00https://yanirseroussi.com/tags/ethics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/2023-09-25T11:15:26+10:00https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/2023-09-22T07:54:13+10:00https://yanirseroussi.com/tags/blogging/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/2023-08-21T13:34:56+10:00https://yanirseroussi.com/tags/productivity/2023-08-17T18:10:57+10:00https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/2023-08-17T18:10:57+10:00https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/2023-08-17T18:10:36+10:00https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/2023-08-14T15:44:21+10:00https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/2023-08-11T14:35:20+10:00https://yanirseroussi.com/tags/devops/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/github/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/security/2023-07-25T09:30:43+10:00https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/2023-07-25T09:30:43+10:00https://yanirseroussi.com/tags/hugo/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/2023-07-17T17:18:06+10:00https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/2023-07-11T14:28:10+10:00https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/hackers/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/futurism/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/machine-intelligence/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/causal-inference/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/automattic/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/climate-change/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/orkestra/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/politics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/remote-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/sustainability/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/deep-learning/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/fast.ai/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/statistics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/cloudflare/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/wordpress/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/10/07/my-work-with-automattic/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/bootstrapping/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/confidence-intervals/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/analytics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/frequently-asked-questions/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/bandcamp/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/bcrecommender/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/elasticsearch/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/javascript/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/predictive-modelling/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/science-communication/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/search-engine-optimisation/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/insights/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/economics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/scuba-diving/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/facebook/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/linkedin/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/kaggle/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/mongodb/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/health/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/nutrition/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/nutritionism/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/recommender-systems/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/07/31/goodbye-parse-com/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/parse.com/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/2024-01-16T09:56:03+10:00https://yanirseroussi.com/deep-learning-resources/2021-11-09T15:38:25+10:00https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/sentiment-analysis/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/divestment/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/fossil-fuels/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/2024-01-16T09:56:03+10:00https://yanirseroussi.com/phd-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/gradient-boosting/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/kaggle-competition/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/phantomjs/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/scikit-learn/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/traction-book/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/price-forecasting/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/music/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/10/23/what-is-data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/multi-label-classification/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/music-industry/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/2023-07-06T09:28:02+10:00https://yanirseroussi.com/tags/kaggle-beginners/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/2024-01-16T09:56:03+10:00https://yanirseroussi.com/kaggle/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/2023-07-06T09:28:02+10:00https://yanirseroussi.com/tags/a/b-testing/https://yanirseroussi.com/about/2024-01-17T14:47:47+10:00https://yanirseroussi.com/posts/2024-01-16T14:09:02+10:00https://yanirseroussi.com/causal-inference-resources/2023-07-06T16:01:57+10:00https://yanirseroussi.com/consult/2024-01-18T11:55:51+10:00https://yanirseroussi.com/contact/2024-01-18T10:14:13+10:00https://yanirseroussi.com/talks/2024-01-17T18:04:07+10:00https://yanirseroussi.com/til/2024-01-16T12:00:52+10:00 \ No newline at end of file +https://yanirseroussi.com/tags/artificial-intelligence/2024-01-19T10:01:48+10:00https://yanirseroussi.com/tags/blogging/2024-01-19T10:01:48+10:00https://yanirseroussi.com/tags/data-science/2024-01-19T10:01:48+10:00https://yanirseroussi.com/tags/environment/2024-01-19T10:01:48+10:00https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/2024-01-19T10:01:48+10:00https://yanirseroussi.com/tags/personal/2024-01-19T10:01:48+10:00https://yanirseroussi.com/tags/2024-01-19T10:01:48+10:00https://yanirseroussi.com/2024-01-19T10:01:48+10:00https://yanirseroussi.com/tags/business/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/career/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/marketing/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/2024-01-09T13:23:28+10:00https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/2024-01-08T16:31:22+10:00https://yanirseroussi.com/tags/data-business/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/2023-12-18T10:38:56+10:00https://yanirseroussi.com/tags/energy-markets/2023-12-14T10:46:41+10:00https://yanirseroussi.com/tags/machine-learning/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/quotes/2023-12-14T10:46:41+10:00https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/2023-12-14T10:46:41+10:00https://yanirseroussi.com/tags/data-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/data-visualisation/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/marine-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/reef-life-survey/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/software-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/web-development/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/2023-11-28T16:56:18+10:00https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/2023-11-21T16:12:27+10:00https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/2023-10-06T15:11:27+10:00https://yanirseroussi.com/tags/ethics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/2023-09-25T11:15:26+10:00https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/2023-09-22T07:54:13+10:00https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/2023-08-21T13:34:56+10:00https://yanirseroussi.com/tags/productivity/2023-08-17T18:10:57+10:00https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/2023-08-17T18:10:57+10:00https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/2023-08-17T18:10:36+10:00https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/2023-08-14T15:44:21+10:00https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/2023-08-11T14:35:20+10:00https://yanirseroussi.com/tags/devops/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/github/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/security/2023-07-25T09:30:43+10:00https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/2023-07-25T09:30:43+10:00https://yanirseroussi.com/tags/hugo/2024-01-16T09:56:03+10:00https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/2023-07-17T17:18:06+10:00https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/2023-07-11T14:28:10+10:00https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/hackers/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/futurism/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/machine-intelligence/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/causal-inference/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/automattic/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/climate-change/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/orkestra/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/politics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/remote-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/sustainability/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/deep-learning/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/fast.ai/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/statistics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/cloudflare/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/wordpress/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/10/07/my-work-with-automattic/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/bootstrapping/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/confidence-intervals/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/analytics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/frequently-asked-questions/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/bandcamp/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/bcrecommender/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/elasticsearch/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/javascript/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/predictive-modelling/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/science-communication/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/search-engine-optimisation/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/insights/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/economics/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/scuba-diving/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/facebook/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/linkedin/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/kaggle/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/mongodb/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/health/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/nutrition/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/nutritionism/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/recommender-systems/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/07/31/goodbye-parse-com/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/parse.com/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/2024-01-16T09:56:03+10:00https://yanirseroussi.com/deep-learning-resources/2021-11-09T15:38:25+10:00https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/sentiment-analysis/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/divestment/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/fossil-fuels/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/2024-01-16T09:56:03+10:00https://yanirseroussi.com/phd-work/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/gradient-boosting/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/kaggle-competition/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/phantomjs/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/scikit-learn/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/traction-book/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/price-forecasting/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/music/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/10/23/what-is-data-science/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/multi-label-classification/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/2024-01-16T09:56:03+10:00https://yanirseroussi.com/tags/music-industry/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/2023-07-06T09:28:02+10:00https://yanirseroussi.com/tags/kaggle-beginners/2023-07-06T09:28:02+10:00https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/2024-01-16T09:56:03+10:00https://yanirseroussi.com/kaggle/2024-01-16T09:56:03+10:00https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/2023-07-06T09:28:02+10:00https://yanirseroussi.com/tags/a/b-testing/https://yanirseroussi.com/about/2024-01-17T14:47:47+10:00https://yanirseroussi.com/posts/2024-01-16T14:09:02+10:00https://yanirseroussi.com/causal-inference-resources/2023-07-06T16:01:57+10:00https://yanirseroussi.com/consult/2024-01-18T11:55:51+10:00https://yanirseroussi.com/contact/2024-01-18T10:14:13+10:00https://yanirseroussi.com/talks/2024-01-17T18:04:07+10:00https://yanirseroussi.com/til/2024-01-16T12:00:52+10:00 \ No newline at end of file diff --git a/tags/artificial-intelligence/index.html b/tags/artificial-intelligence/index.html index c03d60ab6..fba9207b7 100644 --- a/tags/artificial-intelligence/index.html +++ b/tags/artificial-intelligence/index.html @@ -2,7 +2,7 @@

artificial intelligence

Artificial intelligence was a marketing term all along – just call it automation

Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.

October 6, 2023

Google's Rules of Machine Learning still apply in the age of large language models

Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

September 21, 2023

Was data science a failure mode of software engineering?

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

June 30, 2023

How hackable are automated coding assessments?

Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

May 26, 2023

Remaining relevant as a small language model

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).

April 21, 2023

ChatGPT is transformative AI

My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

December 11, 2022

Causal Machine Learning is off to a good start, despite some issues

Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

September 12, 2022

Building useful machine learning tools keeps getting easier: A fish ID case study

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.

March 20, 2022

Use your human brain to avoid artificial intelligence disasters

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.

November 22, 2021

Defining data science in 2018

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.

July 22, 2018

My PhD work

An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

March 30, 2015
Subscribe
+">

artificial intelligence

New decade, new tagline: Data & AI for Nature

Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.

January 18, 2024

Artificial intelligence was a marketing term all along – just call it automation

Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.

October 6, 2023

Google's Rules of Machine Learning still apply in the age of large language models

Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

September 21, 2023

Was data science a failure mode of software engineering?

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

June 30, 2023

How hackable are automated coding assessments?

Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

May 26, 2023

Remaining relevant as a small language model

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).

April 21, 2023

ChatGPT is transformative AI

My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

December 11, 2022

Causal Machine Learning is off to a good start, despite some issues

Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

September 12, 2022

Building useful machine learning tools keeps getting easier: A fish ID case study

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.

March 20, 2022

Use your human brain to avoid artificial intelligence disasters

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.

November 22, 2021

Defining data science in 2018

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.

July 22, 2018

My PhD work

An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

March 30, 2015
Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/tags/artificial-intelligence/index.xml b/tags/artificial-intelligence/index.xml index 92c522116..00b21bbdf 100644 --- a/tags/artificial-intelligence/index.xml +++ b/tags/artificial-intelligence/index.xml @@ -1 +1 @@ -artificial intelligence on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/artificial-intelligence/Recent content in artificial intelligence on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseFri, 06 Oct 2023 05:00:00 +0000Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/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).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models. \ No newline at end of file +artificial intelligence on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/artificial-intelligence/Recent content in artificial intelligence on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000New decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/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).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models. \ 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 @@ -2,7 +2,7 @@

blogging

My rediscovery of quiet writing on the open web

Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

August 28, 2023

Making a TIL section with Hugo and PaperMod

How I added a Today I Learned section to my Hugo site with the PaperMod theme.

July 17, 2023
Subscribe
+">

blogging

New decade, new tagline: Data & AI for Nature

Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.

January 18, 2024

My rediscovery of quiet writing on the open web

Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

August 28, 2023

Making a TIL section with Hugo and PaperMod

How I added a Today I Learned section to my Hugo site with the PaperMod theme.

July 17, 2023
Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/tags/blogging/index.xml b/tags/blogging/index.xml index 65f6e35cb..578cf5020 100644 --- a/tags/blogging/index.xml +++ b/tags/blogging/index.xml @@ -1 +1 @@ -blogging on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/blogging/Recent content in blogging on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseMon, 28 Aug 2023 05:30:00 +0000My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.Making a TIL section with Hugo and PaperModhttps://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/How I added a Today I Learned section to my Hugo site with the PaperMod theme. \ No newline at end of file +blogging on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/blogging/Recent content in blogging on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000New decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.Making a TIL section with Hugo and PaperModhttps://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/How I added a Today I Learned section to my Hugo site with the PaperMod theme. \ No newline at end of file diff --git a/tags/data-science/index.html b/tags/data-science/index.html index 71bd92f68..6d32e6e96 100644 --- a/tags/data-science/index.html +++ b/tags/data-science/index.html @@ -2,7 +2,7 @@

data science

Positioning is a common problem for data scientists

With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.

December 18, 2023

You don't need a proprietary API for static maps

For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.

November 21, 2023

Lessons from reluctant data engineering

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.

October 25, 2023

Google's Rules of Machine Learning still apply in the age of large language models

Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

September 21, 2023

Was data science a failure mode of software engineering?

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

June 30, 2023

Causal Machine Learning is off to a good start, despite some issues

Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

September 12, 2022

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

Building useful machine learning tools keeps getting easier: A fish ID case study

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.

March 20, 2022

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

January 14, 2022

Use your human brain to avoid artificial intelligence disasters

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.

November 22, 2021

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Many is not enough: Counting simulations to bootstrap the right way

Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

August 24, 2020

Software commodities are eating interesting data science work

Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

January 11, 2020

A day in the life of a remote data scientist

Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

December 11, 2019

Bootstrapping the right way?

Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

October 6, 2019

Hackers beware: Bootstrap sampling may be harmful

Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

January 7, 2019

The most practical causal inference book I’ve read (is still a draft)

Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

December 24, 2018

Reflections on remote data science work

Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

November 3, 2018

Defining data science in 2018

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.

July 22, 2018

Advice for aspiring data scientists and other FAQs

Frequently asked questions by visitors to this site, especially around entering the data science field.

October 15, 2017

My 10-step path to becoming a remote data scientist with Automattic

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.

July 29, 2017

Exploring and visualising Reef Life Survey data

Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

June 3, 2017

Customer lifetime value and the proliferation of misinformation on the internet

There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

January 8, 2017

Ask Why! Finding motives, causes, and purpose in data science

Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

September 19, 2016

If you don’t pay attention, data can drive you off a cliff

Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

August 21, 2016

Is Data Scientist a useless job title?

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.

August 4, 2016

Making Bayesian A/B testing more accessible

A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

June 19, 2016

Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

May 14, 2016

The rise of greedy robots

Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

March 20, 2016

Why you should stop worrying about deep learning and deepen your understanding of causality instead

Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

February 14, 2016

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

This holiday season, give me real insights

Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

December 8, 2015

The hardest parts of data science

Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

November 23, 2015

Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

October 19, 2015

The wonderful world of recommender systems

Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

October 2, 2015

You don’t need a data scientist (yet)

Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

August 24, 2015

Learning about deep learning through album cover classification

Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

July 6, 2015

Hopping on the deep learning bandwagon

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.

June 6, 2015

First steps in data science: author-aware sentiment analysis

I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

May 2, 2015

My PhD work

An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

March 30, 2015

The long road to a lifestyle business

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.

March 22, 2015

Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

February 11, 2015

Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

January 29, 2015

Stochastic Gradient Boosting: Choosing the Best Number of Iterations

Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

December 29, 2014

Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

November 19, 2014

What is data science?

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.

October 23, 2014

Greek Media Monitoring Kaggle competition: My approach

Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

October 7, 2014

Bandcamp recommendation and discovery algorithms

The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

September 19, 2014

How to (almost) win Kaggle competitions

Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

August 24, 2014

Data’s hierarchy of needs

Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

August 17, 2014

Kaggle competition tips and summaries

Pointers to all my Kaggle advice posts and competition summaries.

April 5, 2014

Kaggle beginner tips

First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

January 19, 2014
Subscribe
+">

data science

New decade, new tagline: Data & AI for Nature

Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.

January 18, 2024

Positioning is a common problem for data scientists

With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.

December 18, 2023

You don't need a proprietary API for static maps

For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.

November 21, 2023

Lessons from reluctant data engineering

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.

October 25, 2023

Google's Rules of Machine Learning still apply in the age of large language models

Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

September 21, 2023

Was data science a failure mode of software engineering?

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

June 30, 2023

Causal Machine Learning is off to a good start, despite some issues

Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

September 12, 2022

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

Building useful machine learning tools keeps getting easier: A fish ID case study

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.

March 20, 2022

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

January 14, 2022

Use your human brain to avoid artificial intelligence disasters

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.

November 22, 2021

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Many is not enough: Counting simulations to bootstrap the right way

Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

August 24, 2020

Software commodities are eating interesting data science work

Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

January 11, 2020

A day in the life of a remote data scientist

Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

December 11, 2019

Bootstrapping the right way?

Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

October 6, 2019

Hackers beware: Bootstrap sampling may be harmful

Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

January 7, 2019

The most practical causal inference book I’ve read (is still a draft)

Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

December 24, 2018

Reflections on remote data science work

Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

November 3, 2018

Defining data science in 2018

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.

July 22, 2018

Advice for aspiring data scientists and other FAQs

Frequently asked questions by visitors to this site, especially around entering the data science field.

October 15, 2017

My 10-step path to becoming a remote data scientist with Automattic

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.

July 29, 2017

Exploring and visualising Reef Life Survey data

Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

June 3, 2017

Customer lifetime value and the proliferation of misinformation on the internet

There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

January 8, 2017

Ask Why! Finding motives, causes, and purpose in data science

Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

September 19, 2016

If you don’t pay attention, data can drive you off a cliff

Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

August 21, 2016

Is Data Scientist a useless job title?

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.

August 4, 2016

Making Bayesian A/B testing more accessible

A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

June 19, 2016

Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

May 14, 2016

The rise of greedy robots

Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

March 20, 2016

Why you should stop worrying about deep learning and deepen your understanding of causality instead

Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

February 14, 2016

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

This holiday season, give me real insights

Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

December 8, 2015

The hardest parts of data science

Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

November 23, 2015

Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

October 19, 2015

The wonderful world of recommender systems

Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

October 2, 2015

You don’t need a data scientist (yet)

Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

August 24, 2015

Learning about deep learning through album cover classification

Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

July 6, 2015

Hopping on the deep learning bandwagon

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.

June 6, 2015

First steps in data science: author-aware sentiment analysis

I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

May 2, 2015

My PhD work

An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

March 30, 2015

The long road to a lifestyle business

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.

March 22, 2015

Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

February 11, 2015

Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

January 29, 2015

Stochastic Gradient Boosting: Choosing the Best Number of Iterations

Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

December 29, 2014

Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

November 19, 2014

What is data science?

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.

October 23, 2014

Greek Media Monitoring Kaggle competition: My approach

Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

October 7, 2014

Bandcamp recommendation and discovery algorithms

The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

September 19, 2014

How to (almost) win Kaggle competitions

Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

August 24, 2014

Data’s hierarchy of needs

Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

August 17, 2014

Kaggle competition tips and summaries

Pointers to all my Kaggle advice posts and competition summaries.

April 5, 2014

Kaggle beginner tips

First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

January 19, 2014
Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/tags/data-science/index.xml b/tags/data-science/index.xml index 5ad0e7fee..69ad37112 100644 --- a/tags/data-science/index.xml +++ b/tags/data-science/index.xml @@ -1 +1 @@ -data science on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/data-science/Recent content in data science on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseMon, 18 Dec 2023 00:30:00 +0000Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/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.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/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.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/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.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/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.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file +data science on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/data-science/Recent content in data science on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000New decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/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.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/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.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/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.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/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.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/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.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/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.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/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.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file diff --git a/tags/environment/index.html b/tags/environment/index.html index 6d480b0cd..46b1cfc66 100644 --- a/tags/environment/index.html +++ b/tags/environment/index.html @@ -2,7 +2,7 @@

environment

Psychographic specialisations may work for discipline generalists

When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

January 9, 2024

Our Blue Machine is changing, but we are not helpless

One of my many highlights from Helen Czerski’s Blue Machine.

November 28, 2023

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Some highlights from 2020

Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

April 5, 2021

Exploring and visualising Reef Life Survey data

Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

June 3, 2017

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

My divestment from fossil fuels

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.

April 24, 2015
Subscribe
+">

environment

New decade, new tagline: Data & AI for Nature

Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.

January 18, 2024

Psychographic specialisations may work for discipline generalists

When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

January 9, 2024

Our Blue Machine is changing, but we are not helpless

One of my many highlights from Helen Czerski’s Blue Machine.

November 28, 2023

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Some highlights from 2020

Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

April 5, 2021

Exploring and visualising Reef Life Survey data

Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

June 3, 2017

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

My divestment from fossil fuels

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.

April 24, 2015
Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/tags/environment/index.xml b/tags/environment/index.xml index 62ce5ec97..9f378ee68 100644 --- a/tags/environment/index.xml +++ b/tags/environment/index.xml @@ -1 +1 @@ -environment on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/environment/Recent content in environment on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseTue, 09 Jan 2024 03:00:00 +0000Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.Our Blue Machine is changing, but we are not helplesshttps://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/Tue, 28 Nov 2023 06:40:00 +0000https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/One of my many highlights from Helen Czerski’s Blue Machine.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/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. \ No newline at end of file +environment on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/environment/Recent content in environment on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000New decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.Our Blue Machine is changing, but we are not helplesshttps://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/Tue, 28 Nov 2023 06:40:00 +0000https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/One of my many highlights from Helen Czerski’s Blue Machine.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/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. \ No newline at end of file diff --git a/tags/index.html b/tags/index.html index 4b0aa8177..7f1e21ed6 100644 --- a/tags/index.html +++ b/tags/index.html @@ -2,7 +2,7 @@

Tags

Subscribe
+">

Tags

Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/tags/index.xml b/tags/index.xml index b0c56ef3c..57562f39a 100644 --- a/tags/index.xml +++ b/tags/index.xml @@ -1 +1 @@ -Tags on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/Recent content in Tags on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseTue, 09 Jan 2024 03:00:00 +0000businesshttps://yanirseroussi.com/tags/business/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/business/careerhttps://yanirseroussi.com/tags/career/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/career/environmenthttps://yanirseroussi.com/tags/environment/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/environment/marketinghttps://yanirseroussi.com/tags/marketing/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/marketing/personalhttps://yanirseroussi.com/tags/personal/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/personal/data businesshttps://yanirseroussi.com/tags/data-business/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/tags/data-business/data sciencehttps://yanirseroussi.com/tags/data-science/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/tags/data-science/energy marketshttps://yanirseroussi.com/tags/energy-markets/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/energy-markets/machine learninghttps://yanirseroussi.com/tags/machine-learning/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/machine-learning/quoteshttps://yanirseroussi.com/tags/quotes/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/quotes/data engineeringhttps://yanirseroussi.com/tags/data-engineering/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/data-engineering/data visualisationhttps://yanirseroussi.com/tags/data-visualisation/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/data-visualisation/marine sciencehttps://yanirseroussi.com/tags/marine-science/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/marine-science/Reef Life Surveyhttps://yanirseroussi.com/tags/reef-life-survey/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/reef-life-survey/software engineeringhttps://yanirseroussi.com/tags/software-engineering/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/software-engineering/web developmenthttps://yanirseroussi.com/tags/web-development/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/web-development/artificial intelligencehttps://yanirseroussi.com/tags/artificial-intelligence/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/tags/artificial-intelligence/ethicshttps://yanirseroussi.com/tags/ethics/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/tags/ethics/blogginghttps://yanirseroussi.com/tags/blogging/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/tags/blogging/productivityhttps://yanirseroussi.com/tags/productivity/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/tags/productivity/DevOpshttps://yanirseroussi.com/tags/devops/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/devops/GitHubhttps://yanirseroussi.com/tags/github/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/github/securityhttps://yanirseroussi.com/tags/security/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/security/Hugohttps://yanirseroussi.com/tags/hugo/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/tags/hugo/hackershttps://yanirseroussi.com/tags/hackers/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/tags/hackers/futurismhttps://yanirseroussi.com/tags/futurism/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/tags/futurism/machine intelligencehttps://yanirseroussi.com/tags/machine-intelligence/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/tags/machine-intelligence/causal inferencehttps://yanirseroussi.com/tags/causal-inference/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/tags/causal-inference/Automattichttps://yanirseroussi.com/tags/automattic/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/automattic/climate changehttps://yanirseroussi.com/tags/climate-change/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/climate-change/Orkestrahttps://yanirseroussi.com/tags/orkestra/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/orkestra/politicshttps://yanirseroussi.com/tags/politics/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/politics/remote workhttps://yanirseroussi.com/tags/remote-work/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/remote-work/sustainabilityhttps://yanirseroussi.com/tags/sustainability/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/sustainability/deep learninghttps://yanirseroussi.com/tags/deep-learning/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/deep-learning/fast.aihttps://yanirseroussi.com/tags/fast.ai/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/fast.ai/statisticshttps://yanirseroussi.com/tags/statistics/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/tags/statistics/Cloudflarehttps://yanirseroussi.com/tags/cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/cloudflare/WordPresshttps://yanirseroussi.com/tags/wordpress/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/wordpress/bootstrappinghttps://yanirseroussi.com/tags/bootstrapping/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/bootstrapping/confidence intervalshttps://yanirseroussi.com/tags/confidence-intervals/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/confidence-intervals/analyticshttps://yanirseroussi.com/tags/analytics/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/tags/analytics/frequently asked questionshttps://yanirseroussi.com/tags/frequently-asked-questions/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/tags/frequently-asked-questions/Bandcamphttps://yanirseroussi.com/tags/bandcamp/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bandcamp/BCRecommenderhttps://yanirseroussi.com/tags/bcrecommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bcrecommender/Elasticsearchhttps://yanirseroussi.com/tags/elasticsearch/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/tags/elasticsearch/JavaScripthttps://yanirseroussi.com/tags/javascript/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/tags/javascript/predictive modellinghttps://yanirseroussi.com/tags/predictive-modelling/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/predictive-modelling/science communicationhttps://yanirseroussi.com/tags/science-communication/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/science-communication/search engine optimisationhttps://yanirseroussi.com/tags/search-engine-optimisation/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/search-engine-optimisation/insightshttps://yanirseroussi.com/tags/insights/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/tags/insights/economicshttps://yanirseroussi.com/tags/economics/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/tags/economics/scuba divinghttps://yanirseroussi.com/tags/scuba-diving/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/tags/scuba-diving/Facebookhttps://yanirseroussi.com/tags/facebook/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/tags/facebook/LinkedInhttps://yanirseroussi.com/tags/linkedin/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/tags/linkedin/Kagglehttps://yanirseroussi.com/tags/kaggle/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/tags/kaggle/MongoDBhttps://yanirseroussi.com/tags/mongodb/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/tags/mongodb/healthhttps://yanirseroussi.com/tags/health/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/health/nutritionhttps://yanirseroussi.com/tags/nutrition/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutrition/nutritionismhttps://yanirseroussi.com/tags/nutritionism/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutritionism/recommender systemshttps://yanirseroussi.com/tags/recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/tags/recommender-systems/parse.comhttps://yanirseroussi.com/tags/parse.com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/tags/parse.com/sentiment analysishttps://yanirseroussi.com/tags/sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/tags/sentiment-analysis/divestmenthttps://yanirseroussi.com/tags/divestment/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/divestment/fossil fuelshttps://yanirseroussi.com/tags/fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/fossil-fuels/gradient boostinghttps://yanirseroussi.com/tags/gradient-boosting/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/gradient-boosting/Kaggle competitionhttps://yanirseroussi.com/tags/kaggle-competition/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/kaggle-competition/PhantomJShttps://yanirseroussi.com/tags/phantomjs/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/tags/phantomjs/scikit-learnhttps://yanirseroussi.com/tags/scikit-learn/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/tags/scikit-learn/traction bookhttps://yanirseroussi.com/tags/traction-book/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/tags/traction-book/price forecastinghttps://yanirseroussi.com/tags/price-forecasting/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/tags/price-forecasting/musichttps://yanirseroussi.com/tags/music/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/tags/music/multi-label classificationhttps://yanirseroussi.com/tags/multi-label-classification/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/tags/multi-label-classification/music industryhttps://yanirseroussi.com/tags/music-industry/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/tags/music-industry/Kaggle beginnershttps://yanirseroussi.com/tags/kaggle-beginners/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/tags/kaggle-beginners/a/b testinghttps://yanirseroussi.com/tags/a/b-testing/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/tags/a/b-testing/ \ No newline at end of file +Tags on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/Recent content in Tags on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000artificial intelligencehttps://yanirseroussi.com/tags/artificial-intelligence/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/tags/artificial-intelligence/blogginghttps://yanirseroussi.com/tags/blogging/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/tags/blogging/data sciencehttps://yanirseroussi.com/tags/data-science/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/tags/data-science/environmenthttps://yanirseroussi.com/tags/environment/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/tags/environment/personalhttps://yanirseroussi.com/tags/personal/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/tags/personal/businesshttps://yanirseroussi.com/tags/business/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/business/careerhttps://yanirseroussi.com/tags/career/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/career/marketinghttps://yanirseroussi.com/tags/marketing/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/tags/marketing/data businesshttps://yanirseroussi.com/tags/data-business/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/tags/data-business/energy marketshttps://yanirseroussi.com/tags/energy-markets/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/energy-markets/machine learninghttps://yanirseroussi.com/tags/machine-learning/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/machine-learning/quoteshttps://yanirseroussi.com/tags/quotes/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/quotes/data engineeringhttps://yanirseroussi.com/tags/data-engineering/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/data-engineering/data visualisationhttps://yanirseroussi.com/tags/data-visualisation/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/data-visualisation/marine sciencehttps://yanirseroussi.com/tags/marine-science/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/marine-science/Reef Life Surveyhttps://yanirseroussi.com/tags/reef-life-survey/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/reef-life-survey/software engineeringhttps://yanirseroussi.com/tags/software-engineering/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/software-engineering/web developmenthttps://yanirseroussi.com/tags/web-development/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/web-development/ethicshttps://yanirseroussi.com/tags/ethics/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/tags/ethics/productivityhttps://yanirseroussi.com/tags/productivity/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/tags/productivity/DevOpshttps://yanirseroussi.com/tags/devops/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/devops/GitHubhttps://yanirseroussi.com/tags/github/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/github/securityhttps://yanirseroussi.com/tags/security/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/security/Hugohttps://yanirseroussi.com/tags/hugo/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/tags/hugo/hackershttps://yanirseroussi.com/tags/hackers/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/tags/hackers/futurismhttps://yanirseroussi.com/tags/futurism/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/tags/futurism/machine intelligencehttps://yanirseroussi.com/tags/machine-intelligence/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/tags/machine-intelligence/causal inferencehttps://yanirseroussi.com/tags/causal-inference/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/tags/causal-inference/Automattichttps://yanirseroussi.com/tags/automattic/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/automattic/climate changehttps://yanirseroussi.com/tags/climate-change/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/climate-change/Orkestrahttps://yanirseroussi.com/tags/orkestra/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/orkestra/politicshttps://yanirseroussi.com/tags/politics/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/politics/remote workhttps://yanirseroussi.com/tags/remote-work/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/remote-work/sustainabilityhttps://yanirseroussi.com/tags/sustainability/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/sustainability/deep learninghttps://yanirseroussi.com/tags/deep-learning/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/deep-learning/fast.aihttps://yanirseroussi.com/tags/fast.ai/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/fast.ai/statisticshttps://yanirseroussi.com/tags/statistics/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/tags/statistics/Cloudflarehttps://yanirseroussi.com/tags/cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/cloudflare/WordPresshttps://yanirseroussi.com/tags/wordpress/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/wordpress/bootstrappinghttps://yanirseroussi.com/tags/bootstrapping/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/bootstrapping/confidence intervalshttps://yanirseroussi.com/tags/confidence-intervals/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/confidence-intervals/analyticshttps://yanirseroussi.com/tags/analytics/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/tags/analytics/frequently asked questionshttps://yanirseroussi.com/tags/frequently-asked-questions/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/tags/frequently-asked-questions/Bandcamphttps://yanirseroussi.com/tags/bandcamp/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bandcamp/BCRecommenderhttps://yanirseroussi.com/tags/bcrecommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bcrecommender/Elasticsearchhttps://yanirseroussi.com/tags/elasticsearch/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/tags/elasticsearch/JavaScripthttps://yanirseroussi.com/tags/javascript/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/tags/javascript/predictive modellinghttps://yanirseroussi.com/tags/predictive-modelling/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/predictive-modelling/science communicationhttps://yanirseroussi.com/tags/science-communication/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/science-communication/search engine optimisationhttps://yanirseroussi.com/tags/search-engine-optimisation/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/search-engine-optimisation/insightshttps://yanirseroussi.com/tags/insights/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/tags/insights/economicshttps://yanirseroussi.com/tags/economics/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/tags/economics/scuba divinghttps://yanirseroussi.com/tags/scuba-diving/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/tags/scuba-diving/Facebookhttps://yanirseroussi.com/tags/facebook/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/tags/facebook/LinkedInhttps://yanirseroussi.com/tags/linkedin/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/tags/linkedin/Kagglehttps://yanirseroussi.com/tags/kaggle/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/tags/kaggle/MongoDBhttps://yanirseroussi.com/tags/mongodb/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/tags/mongodb/healthhttps://yanirseroussi.com/tags/health/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/health/nutritionhttps://yanirseroussi.com/tags/nutrition/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutrition/nutritionismhttps://yanirseroussi.com/tags/nutritionism/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutritionism/recommender systemshttps://yanirseroussi.com/tags/recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/tags/recommender-systems/parse.comhttps://yanirseroussi.com/tags/parse.com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/tags/parse.com/sentiment analysishttps://yanirseroussi.com/tags/sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/tags/sentiment-analysis/divestmenthttps://yanirseroussi.com/tags/divestment/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/divestment/fossil fuelshttps://yanirseroussi.com/tags/fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/fossil-fuels/gradient boostinghttps://yanirseroussi.com/tags/gradient-boosting/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/gradient-boosting/Kaggle competitionhttps://yanirseroussi.com/tags/kaggle-competition/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/kaggle-competition/PhantomJShttps://yanirseroussi.com/tags/phantomjs/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/tags/phantomjs/scikit-learnhttps://yanirseroussi.com/tags/scikit-learn/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/tags/scikit-learn/traction bookhttps://yanirseroussi.com/tags/traction-book/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/tags/traction-book/price forecastinghttps://yanirseroussi.com/tags/price-forecasting/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/tags/price-forecasting/musichttps://yanirseroussi.com/tags/music/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/tags/music/multi-label classificationhttps://yanirseroussi.com/tags/multi-label-classification/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/tags/multi-label-classification/music industryhttps://yanirseroussi.com/tags/music-industry/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/tags/music-industry/Kaggle beginnershttps://yanirseroussi.com/tags/kaggle-beginners/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/tags/kaggle-beginners/a/b testinghttps://yanirseroussi.com/tags/a/b-testing/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/tags/a/b-testing/ \ No newline at end of file diff --git a/tags/personal/index.html b/tags/personal/index.html index 198b6fca5..25fc94d81 100644 --- a/tags/personal/index.html +++ b/tags/personal/index.html @@ -2,7 +2,7 @@

personal

Psychographic specialisations may work for discipline generalists

When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

January 9, 2024

The lines between solo consulting and product building are blurry

It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.

September 25, 2023

My rediscovery of quiet writing on the open web

Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

August 28, 2023

The Minimalist Entrepreneur is too prescriptive for me

While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.

August 21, 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 2)

A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

August 17, 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 1)

A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

August 16, 2023

You can't save time

Time can be spent doing different activities, but it can’t be stored and saved for later.

July 11, 2023

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

My 10-step path to becoming a remote data scientist with Automattic

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.

July 29, 2017

Ask Why! Finding motives, causes, and purpose in data science

Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

September 19, 2016

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

The long road to a lifestyle business

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.

March 22, 2015
Subscribe
+">

personal

New decade, new tagline: Data & AI for Nature

Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.

January 18, 2024

Psychographic specialisations may work for discipline generalists

When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

January 9, 2024

The lines between solo consulting and product building are blurry

It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.

September 25, 2023

My rediscovery of quiet writing on the open web

Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

August 28, 2023

The Minimalist Entrepreneur is too prescriptive for me

While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.

August 21, 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 2)

A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

August 17, 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 1)

A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

August 16, 2023

You can't save time

Time can be spent doing different activities, but it can’t be stored and saved for later.

July 11, 2023

The mission matters: Moving to climate tech as a data scientist

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

June 6, 2022

My 10-step path to becoming a remote data scientist with Automattic

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.

July 29, 2017

Ask Why! Finding motives, causes, and purpose in data science

Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

September 19, 2016

The joys of offline data collection

Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

January 24, 2016

The long road to a lifestyle business

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.

March 22, 2015
Subscribe
Alternatively, subscribe to RSS feed.
Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & diff --git a/tags/personal/index.xml b/tags/personal/index.xml index 9c49c4295..d74f060c5 100644 --- a/tags/personal/index.xml +++ b/tags/personal/index.xml @@ -1 +1 @@ -personal on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/personal/Recent content in personal on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseTue, 09 Jan 2024 03:00:00 +0000Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.You can't save timehttps://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Tue, 11 Jul 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Time can be spent doing different activities, but it can’t be stored and saved for later.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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. \ No newline at end of file +personal on Yanir Seroussi | Data & AI for Naturehttps://yanirseroussi.com/tags/personal/Recent content in personal on Yanir Seroussi | Data & AI for NatureHugo -- gohugo.ioen-auText 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 otherwiseThu, 18 Jan 2024 00:00:00 +0000New decade, new tagline: Data & AI for Naturehttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Thu, 18 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/Shifting focus to ‘Data & AI for Nature’, with more nature-positive content, increased posting frequency, and deeper audience engagement.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.You can't save timehttps://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Tue, 11 Jul 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Time can be spent doing different activities, but it can’t be stored and saved for later.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/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.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/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. \ No newline at end of file