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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!

• 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 : Andis Arietta
• URL : https://www.azandisresearch.com
• Description : Ecological and molecular data science

• Author : Andrej Karpathy
• URL : http://karpathy.github.io/
• Description : Neural networks

• Author : Andrew Musselman
• URL : https://adversariallearning.com
• Description : Data science podcast

• Author : Ben Recht
• URL : http://www.argmin.net/about/
• Description : Musings on systems, information, learning, and optimization

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

• Author : Chris Albon
• URL : https://machinelearningflashcards.com/
• Description : Flashcard with ML concepts

• Author : Emin Orhan
• URL : https://severelytheoretical.wordpress.com/
• Description : machine learning, computational neuroscience, cognitive science

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

• Author : Eric Jang
• URL : https://evjang.com/
• Description : nan

• Author : Erik Bernhardsson
• URL : https://erikbern.com/
• Description : Management, cloud, software

• Author : Ethan Rosenthal
• URL : https://www.ethanrosenthal.com
• Description : Blog about data, science, etc.

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

• Author : Eugene Yan
• URL : https://applyingml.com/
• Description : List of ML resources.

• Author : Georg Meyer
• URL : https://georgmeyer.ch/
• Description : nan

• Author : Gertjan Verhoeven
• URL : https://gsverhoeven.github.io/
• Description : Machine learning

• Author : Gregory Gundersen
• URL : http://gregorygundersen.com/
• Description : Maths and ML

• Author : Jacopo Tagliabue
• URL : https://jacopotagliabue.it/
• Description : RecSys, MLOps.

• Author : Jason
• URL : https://jasmcole.com/
• Description : Maths, physics, stats.

• Author : Jay Alammar
• URL : http://jalammar.github.io/
• Description : Visualizing machine learning one concept at a time.

• Author : Jay Mody
• URL : https://jaykmody.com/
• Description : Machine learning, maths

• 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 : Jeremy Jordan
• URL : https://www.jeremyjordan.me/
• Description : nan

• 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 : Joe Lucas
• URL : https://josephtlucas.github.io/blog/intro.html
• Description : nan

• Author : Jonathan Carroll
• URL : https://jcarroll.com.au/
• Description : nan

• Author : Julia Silge
• URL : https://juliasilge.com/blog/
• Description : Machine learning, text analysis, and more

• Author : Julien Jerphanion
• URL : https://jjerphan.xyz/
• Description : software and mathematics

• Author : Lilian Weng
• URL : https://lilianweng.github.io
• Description : Maths behind ML and DL

• Author : Lior Sinai
• URL : https://liorsinai.github.io/
• Description : Musings on mathematics, coding and physics.

• Author : Lucy
• URL : https://lucytalksdata.com/
• Description : Data science in the broadest sense of the word

• Author : Luke Metz
• URL : http://lukemetz.com/
• Description : Machine Learning, Robotics, Making

• Author : Martina Pugliese
• URL : https://doodlingdata.substack.com/
• Description : I hand-draw data visualisations (a Substack)

• Author : Max Halford
• URL : https://maxhalford.github.io/
• Description : NLP, real-time machine learning

• Author : Mohammad Aflah Khan
• URL : https://aflah02.github.io/
• Description : nan

• Author : Neal Lathia
• URL : https://nlathia.github.io/about/
• Description : nan

• Author : Nicolo Giso
• URL : https://www.nicologiso.com/
• Description : Python and Data Science

• Author : Peter Baumgartner
• URL : https://www.peterbaumgartner.com/blog
• Description : Personal blog, focused on NLP, ML, general data science, metawork, whatever i'm thinking of.

• Author : Randy Au
• URL : https://counting.substack.com/
• Description : Blog about the less sexy things around working with data

• Author : Ravin Kumar
• URL : https://ravinkumar.com/
• Description : Bayesian statistics. Open source. Data Science.

• Author : Rocco Panella
• URL : https://paloblancogames.itch.io/
• Description : Video Games

• Author : Scott Aaronson
• URL : https://scottaaronson.blog/
• Description : The Blog of Scott Aaronson

• Author : Sebastian Raschka
• URL : https://sebastianraschka.com/
• Description : Machine Learning and AI research

• Author : Sidney Ochieng
• URL : https://sidneyochieng.co.ke
• Description : Data, programming and other things

• Author : Steven Morse
• URL : https://stmorse.github.io/blog.html
• Description : outlet for personal and professional research, with a focus on applied math and statistics

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

• Author : Tamara Atanasoska
• URL : https://www.holophrase.de//
• Description : NLP

• Author : Teresa Kubacka
• URL : https://www.pythonviz.blog/
• Description : Data visualization

• 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 : Tobias
• URL : https://www.depends-on-the-definition.com
• Description : Python, machine learning

• Author : Vicki Boykis
• URL : https://vickiboykis.com/
• Description : Machine learning and related stuff

• 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).