Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
The mathematical foundations behind machine learning, taught for ML rather than in the abstract: linear algebra, analytic geometry, matrix decompositions, vector calculus, probability, and optimization, connected to real ML models.
Machine LearningAdvancedOfficial Free DistributionPDF · 17 MB
