Motivation: There are three main reasons for learning mathematics for AI/ML researchers or in general
folks looking to gain deeper understanding in AI. Firstly, you may have used various deep learning tools
and developed useful projects and want to gain deeper insights into what is chain rule, what is a partial derivative,
what is KL-divergence. Secondly, you want to do theoretical research in AI/ML. Thirdly, you want to rely on
mathematical arguments for motivation in creating new AI solutions (for some people, instead of mathematical
intuitions, they rely on intuitions from psychology, cognitive science, and other disciplines).
What is provided below is a list of some important topics in foundational mathematics.
As one can expect, this list is incomplete and I am working to continuously expanding it.
(*) Means something that is slightly more advanced and can be omitted