Skip to main content
This section covers supplementary material including mathematical foundations and programming resources.

​
Math Background

Math Overview

Mathematics for Machine Learning textbook reference.

Probability

Probability basics including joint, marginal, and conditional distributions.

Linear Algebra

Linear algebra fundamentals including vectors, matrices, and eigenvalues.

Calculus

Calculus fundamentals including derivatives and matrix calculus.

​
Programming

Python

Python programming resources for data science and ML.
Edit this page on GitHub or file an issue.
Connect these docs to Claude, VSCode, and more via MCP for real-time answers.