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A curated list of personal machine learning and data science blogs.

To add your blog feel free to open a PR. If you don't feel to open a PR feel free to add your blog in this spreadsheet and I'll add it in the repo when I have time!

List of blogs

  • Author : Alex Molas
  • URL : https://www.amolas.dev/blog
  • Description : Personal blog about machine learning, maths, and other tech topics.

  • Author : Amit Chaudhary
  • URL : https://amitnes.com
  • Description : Drawings on machine learning concepts





  • Author : Chip Huyen
  • URL : https://www.huyenchip.com
  • Description : Blog about real-time machine learning in production and other data science topics.



  • Author : Emir Uz
  • URL : https://emiruz.com
  • Description : I do research commercially, mostly by applying maths, stats and comp. sci.




  • Author : Eugene Yan
  • URL : https://www.eugeneyan.com
  • Description : Design, build, and operate machine learning systems that serve customers at scale









  • Author : Jenna Jordan
  • URL : https://jennajordan.me/
  • Description : I do data stuff with python + SQL. Learned to code at library school. Knitter. Dog mom. Nerdy for sci-fi/fantasy, board games, and well-wrangled data.


  • Author : Jesper Dramsch
  • URL : https://dramsch.net/articles
  • Description : Personal blog about ML, Python, and data. And of course random stuff that catches my attention.

  • Author : Jesper Dramsch
  • URL : https://dramsch.net/newsletter
  • Description : Weekly newsletter sharing awesome things I found in ML, data viz, and on the internet + personal updates.

  • Author : Jesse Mostipak
  • URL : https://weightedtangents.substack.com/
  • Description : my thoughts and experiences around going to school for 3D character animation and the intersections with things like generative models and my career experiences in data science + ML






















  • Author : Susan Shu Chang
  • URL : https://www.susanshu.com/
  • Description : career development, data science/ML, productivity, and more



  • Author : Thomas Lumley
  • URL : https://notstatschat.rbind.io/
  • Description : I’m a statistical researcher in Auckland. This blog is for things that don’t belong on my department’s blog, StatsChat.



  • Author : Vicki Boykis
  • URL : https://boringml.com/
  • Description : the internal, boring, day-to-day work that machine learning entails

  • Author : Vincent
  • URL : https://koaning.io/
  • Description : understanding algorithmic systems so that one may prevent failure

  • Author : Will Kurt
  • URL : https://www.countbayesie.com/
  • Description : explore issues in Bayesian and Frequentist statistics as well as topics usually left for a rigorous study of probability with measure theory (though as often as possible the aim will be to minimize rigor and maximize insight).



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A public repository of personal ML/DS blogs.

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