Marc Peter Deisenroth A. Aldo Faisal Cheng Soon Ong
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum o...
