Compendiums, Blende12, Pixabay.

The Last Machine & Deep-Learning Compendium You’ll Ever Need

A comprehensive resource on practically every topic for data science researchers

Edit: the compendium has its own website @ mlcompendium.com and the google doc is now fully retired in favor of the website. I’m not profiting from the compendium and I’m always trying to make sure that it is up to date, updating the body of work with new knowledge, and updating references with author credits.

Since 2017, I have been curating everything related, directly or indirectly, to machine-learning (ML), deep-learning (DL), Statistics, Probability, NLP, NLU, deep-vision, etc. I started curating a private list of references because I wanted to expand the scope of my knowledge. That list was later named as the ML compendium. I believe that every researcher and data scientist (DS) should strive to learn more on a daily basis, not by hitting task-related walls and solving them, but as a lifelong learning practice. Personally, I read a few articles before I start my day, and once in a while I write and share the knowledge that I gain on Medium.

Partial table-of-contents, Part I, The ML Compendium.