Mathematics for Machine Learning

Mathematics for Machine Learning (ML) describes the foundational concepts from linear algebra, calculus, probability & statistics, and optimization that enable algorithms to represent data, learn patterns, and make predictions, allowing us to build and understand models for tasks like regression, classification, and dimensionality reduction