This pre-course for the machine learning 1 lecture will review some of the required mathematical basics. The covered topics are Linear Algebra, Calculus, Optimization, Probability Theory and Python programming. The course is based on the identically named e-book Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong.