This repository aggregates textbooks and educational resources on the mathematics needed for machine learning, including linear algebra, calculus, probability, optimization, and deep learning theory. It provides a structured reference for self-learners, curating sources like the Deep Learning Book, Mathematics for Machine Learning (Deisenroth et al.), and Probabilistic Machine Learning (Murphy).