CS 189/289A is UC Berkeley's introductory machine learning course, with a more theoretical, math-oriented treatment of the subject. Its materials include homework that asks students to derive formulas themselves.

Commenters describe it as a strong theoretical introduction to machine learning and stress working through its homeworks by hand to build understanding.

On Reddit (2)

1. Strongly recommendsserifmasterracer/MachineLearning2018in “UC Berkeley and Berkeley AI Research published all materials of CS 188: Introduction to Artificial Intelligence, Fall 2018”

   Just took this class. Amazing course, and would strongly recommend CS 189 for a more theoretical look at Machine Learning http://www.eecs189.org EDIT: seems like the materials won’t be uploaded til the semester starts. Here’s Spring 2018’s course materials though http://sp18.eecs189.org

2. Recommendslibai123456r/learnmachinelearning2023in “Want to get into the math intensive side of ML. Where do I start?”

   I think maybe you can try to work through all the course materials on UC Berkeley CS 189/289A websites, especially trying to complete all the homeworks on your own. I always wanted to do things like what you want to do now, but i finally found that without getting your hand dirty with deriving…

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