Some free resources in the ML ecosystem

12 Aug 2019 (regularly updated)

In this post, I suggest some well-known free resources in the ML ecosystem.

Table of Contents:

Learning about ML

See my post on Some references for getting started and beyond with ML.

Remote computing (for free)

Papers and written algorithms

Since Oct. 2020, Papers with Code partners with arXiv: machine learning articles on arXiv have a Code tab to link official and community code with the paper.

Datasets for ML

Learning to code

The Missing Semester of Your CS Education lectures by MIT are really interesting! The 2020 video lectures are available on YouTube.
“Classes teach you all about advanced topics within CS, from operating systems to machine learning, but there’s one critical subject that’s rarely covered, and is instead left to students to figure out on their own: proficiency with their tools. We’ll teach you how to master the command-line, use a powerful text editor, use fancy features of version control systems, and much more!”

Python libraries for ML

See my post on Python libraries for Data Scientists.