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A public repository of personal ML/DS blogs.

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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](https://docs.google.com/spreadsheets/d/1H9ceAbEkSvtzg8A2x0BkI44qJw3Cq0rPdnCihGMn8rU/edit) and I'll add it in the repo when I have time!

# List of blogs
* **Author** : Alex Molas 
* **URL** : [https://www.amolas.dev/blog](https://www.amolas.dev/blog) 
* **Description** : Personal blog about machine learning, maths, and other tech topics. 
--- 
* **Author** : Amit Chaudhary 
* **URL** : [https://amitnes.com](https://amitnes.com) 
* **Description** : Drawings on machine learning concepts 
--- 
* **Author** : Andis Arietta 
* **URL** : [https://www.azandisresearch.com](https://www.azandisresearch.com) 
* **Description** : Ecological and molecular data science 
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* **Author** : Andrej Karpathy 
* **URL** : [http://karpathy.github.io/](http://karpathy.github.io/) 
* **Description** : Neural networks 
--- 
* **Author** : Andrew Musselman 
* **URL** : [https://adversariallearning.com](https://adversariallearning.com) 
* **Description** : Data science podcast 
--- 
* **Author** : Ben Recht 
* **URL** : [http://www.argmin.net/about/](http://www.argmin.net/about/) 
* **Description** : Musings on systems, information, learning, and optimization 
--- 
* **Author** : Chip Huyen 
* **URL** : [https://www.huyenchip.com](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/](https://machinelearningflashcards.com/) 
* **Description** : Flashcard with ML concepts 
--- 
* **Author** : Emin Orhan 
* **URL** : [https://severelytheoretical.wordpress.com/](https://severelytheoretical.wordpress.com/) 
* **Description** : machine learning, computational neuroscience, cognitive science 
--- 
* **Author** : Emir Uz 
* **URL** : [https://emiruz.com](https://emiruz.com) 
* **Description** : I do research commercially, mostly by applying maths, stats and comp. sci. 
--- 
* **Author** : Eric Jang 
* **URL** : [https://evjang.com/](https://evjang.com/) 
* **Description** : nan 
--- 
* **Author** : Erik Bernhardsson 
* **URL** : [https://erikbern.com/](https://erikbern.com/) 
* **Description** : Management, cloud, software 
--- 
* **Author** : Ethan Rosenthal 
* **URL** : [https://www.ethanrosenthal.com](https://www.ethanrosenthal.com) 
* **Description** : Blog about data, science, etc. 
--- 
* **Author** : Eugene Yan 
* **URL** : [https://www.eugeneyan.com](https://www.eugeneyan.com) 
* **Description** : Design, build, and operate machine learning systems that serve customers at scale 
--- 
* **Author** : Eugene Yan 
* **URL** : [https://applyingml.com/](https://applyingml.com/) 
* **Description** : List of ML resources. 
--- 
* **Author** : Georg Meyer 
* **URL** : [https://georgmeyer.ch/](https://georgmeyer.ch/) 
* **Description** : nan 
--- 
* **Author** : Gertjan Verhoeven 
* **URL** : [https://gsverhoeven.github.io/](https://gsverhoeven.github.io/) 
* **Description** : Machine learning 
--- 
* **Author** : Gregory Gundersen 
* **URL** : [http://gregorygundersen.com/](http://gregorygundersen.com/) 
* **Description** : Maths and ML 
--- 
* **Author** : Jacopo Tagliabue 
* **URL** : [https://jacopotagliabue.it/](https://jacopotagliabue.it/) 
* **Description** : RecSys, MLOps. 
--- 
* **Author** : Jason 
* **URL** : [https://jasmcole.com/](https://jasmcole.com/) 
* **Description** : Maths, physics, stats. 
--- 
* **Author** : Jay Alammar 
* **URL** : [http://jalammar.github.io/](http://jalammar.github.io/) 
* **Description** : Visualizing machine learning one concept at a time. 
--- 
* **Author** : Jay Mody 
* **URL** : [https://jaykmody.com/](https://jaykmody.com/) 
* **Description** : Machine learning, maths 
--- 
* **Author** : Jenna Jordan 
* **URL** : [https://jennajordan.me/](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/](https://www.jeremyjordan.me/) 
* **Description** : nan 
--- 
* **Author** : Jesper Dramsch 
* **URL** : [https://dramsch.net/articles](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 ](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/](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](https://josephtlucas.github.io/blog/intro.html) 
* **Description** : nan 
--- 
* **Author** : Jonathan Carroll 
* **URL** : [https://jcarroll.com.au/](https://jcarroll.com.au/) 
* **Description** : nan 
--- 
* **Author** : Julia Silge 
* **URL** : [https://juliasilge.com/blog/](https://juliasilge.com/blog/) 
* **Description** : Machine learning, text analysis, and more 
--- 
* **Author** : Julien Jerphanion 
* **URL** : [https://jjerphan.xyz/](https://jjerphan.xyz/) 
* **Description** : software and mathematics 
--- 
* **Author** : Lilian Weng 
* **URL** : [https://lilianweng.github.io](https://lilianweng.github.io) 
* **Description** : Maths behind ML and DL 
--- 
* **Author** : Lior Sinai 
* **URL** : [https://liorsinai.github.io/](https://liorsinai.github.io/) 
* **Description** : Musings on mathematics, coding and physics. 
--- 
* **Author** : Lucy 
* **URL** : [https://lucytalksdata.com/](https://lucytalksdata.com/) 
* **Description** : Data science in the broadest sense of the word 
--- 
* **Author** : Luke Metz 
* **URL** : [http://lukemetz.com/](http://lukemetz.com/) 
* **Description** : Machine Learning, Robotics, Making 
--- 
* **Author** : Martina Pugliese 
* **URL** : [https://doodlingdata.substack.com/](https://doodlingdata.substack.com/) 
* **Description** : I hand-draw data visualisations (a Substack) 
--- 
* **Author** : Max Halford 
* **URL** : [https://maxhalford.github.io/](https://maxhalford.github.io/) 
* **Description** : NLP, real-time machine learning 
--- 
* **Author** : Mohammad Aflah Khan 
* **URL** : [https://aflah02.github.io/](https://aflah02.github.io/) 
* **Description** : nan 
--- 
* **Author** : Neal Lathia 
* **URL** : [https://nlathia.github.io/about/](https://nlathia.github.io/about/) 
* **Description** : nan 
--- 
* **Author** : Nicolo Giso 
* **URL** : [https://www.nicologiso.com/](https://www.nicologiso.com/) 
* **Description** : Python and Data Science 
--- 
* **Author** : Peter Baumgartner 
* **URL** : [https://www.peterbaumgartner.com/blog](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/](https://counting.substack.com/) 
* **Description** : Blog about the less sexy things around working with data 
--- 
* **Author** : Ravin Kumar 
* **URL** : [https://ravinkumar.com/](https://ravinkumar.com/) 
* **Description** : Bayesian statistics. Open source. Data Science. 
--- 
* **Author** : Rocco Panella 
* **URL** : [https://paloblancogames.itch.io/](https://paloblancogames.itch.io/) 
* **Description** : Video Games 
--- 
* **Author** : Scott Aaronson 
* **URL** : [https://scottaaronson.blog/](https://scottaaronson.blog/) 
* **Description** : The Blog of Scott Aaronson  
--- 
* **Author** : Sebastian Raschka 
* **URL** : [https://sebastianraschka.com/](https://sebastianraschka.com/) 
* **Description** : Machine Learning and AI research 
--- 
* **Author** : Sidney Ochieng 
* **URL** : [https://sidneyochieng.co.ke](https://sidneyochieng.co.ke) 
* **Description** : Data, programming and other things 
--- 
* **Author** : Steven Morse 
* **URL** : [https://stmorse.github.io/blog.html](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/](https://www.susanshu.com/) 
* **Description** : career development, data science/ML, productivity, and more 
--- 
* **Author** : Tamara Atanasoska 
* **URL** : [https://www.holophrase.de//](https://www.holophrase.de//) 
* **Description** : NLP 
--- 
* **Author** : Teresa Kubacka 
* **URL** : [https://www.pythonviz.blog/](https://www.pythonviz.blog/) 
* **Description** : Data visualization 
--- 
* **Author** : Thomas Lumley 
* **URL** : [https://notstatschat.rbind.io/](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](https://www.depends-on-the-definition.com) 
* **Description** : Python, machine learning 
--- 
* **Author** : Vicki Boykis 
* **URL** : [https://vickiboykis.com/](https://vickiboykis.com/) 
* **Description** : Machine learning and related stuff 
--- 
* **Author** : Vicki Boykis 
* **URL** : [https://boringml.com/](https://boringml.com/) 
* **Description** : the internal, boring, day-to-day work that machine learning entails 
--- 
* **Author** : Vincent 
* **URL** : [https://koaning.io/](https://koaning.io/) 
* **Description** : understanding algorithmic systems so that one may prevent failure 
--- 
* **Author** : Will Kurt 
* **URL** : [https://www.countbayesie.com/](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). 
--- 
* **Author** : Hardmaru 
* **URL** : [https://blog.otoro.net/](https://blog.otoro.net/) 
* **Description** : simple things with neural networks. 
--- 
* **Author** : Carlos E. Perez
* **URL** : [https://intuitmachine.medium.com/](https://intuitmachine.medium.com/) 
* **Description** : Author of Artificial Intuition and the Deep Learning Playbook
---

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