Mathematics of Machine Learning

This book provides a rigorous yet accessible introduction to the mathematical foundations of machine learning, including linear algebra, calculus, and probability theory.

It is designed for engineers, developers, and data scientists seeking to deepen their understanding of machine learning algorithms.

The book includes Python implementations to illustrate practical applications of these mathematical concepts.