My Recommendations to Learn Mathematics for Machine Learning

I have always emphasized on the importance of mathematics in machine learning. Here is a compilation of resources (books, videos, and papers) to get you going.

This is not an exhaustive list but I have carefully curated it based on my experience and observations.

This is a repost of my Twitter thread that you can find here. I will keep updating the list here as I come across more useful resources.

Mathematics for Machine Learning

by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong

Source: https://mml-book.github.io

Note: this is probably the place you want to start. Start slowly and work on some examples. Pay close attention to the notation and get comfortable with it.

 

To finish reading, please visit source site