Prerequisites

This section covers supplementary material including mathematical foundations and programming resources.

Math Background

Mathematics for Machine Learning textbook reference.

Probability basics including joint, marginal, and conditional distributions.

Linear algebra fundamentals including vectors, matrices, and eigenvalues.

Calculus fundamentals including derivatives and matrix calculus.

Python programming resources for data science and ML.