### TEXT ↠ Mathematics for Machine Learning Ô Marc Peter Deisenroth

The fundamental mathematical tools needed to understand machine learning include linear algebra analytic geometry matrix decompositions vector calculus optimization probability and statistics These topics are traditionally taught in disparate courses making it hard for data science or computer science students or professionals to efficiently learn the mathematics Th The best book you use to learn math

### Marc Peter Deisenroth Ô Mathematics for Machine Learning EBOOK

Mathematics for Machine LearningMatical background these derivations provide a starting point to machine learning texts For those learning the mathematics for the first time the methods help build intuition and practical experience with applying mathematical concepts Every chapter includes worked examples and exercises to test understanding Programming tutorials are offered on the book's web sit It's a very and maybe only resource for someone moving into machine learning and trying to understand the complexity of the underlying mathematics