Mathematics for Machine Learning Key Notes Key Notes of Mathematics for Machine Learning Contents Introduction Linear Algebra 1 Linear Algebra 2 Analytic Geometry Matrix Decompositions 1 Matrix Decompositions 2 Vector Calculus Probability and Distribution 1 Probability and Distribution 2