Contains Jupyter notebooks with play code used to understand various ML math concepts such as mixture of Gaussians, plus solutions to end-of-chapter exercises from the MML textbook. The material covers linear algebra, calculus, probability and related mathematical foundations of machine learning. Notebooks include LaTeX-rendered mathematical notation for clarity.