Mathematics for Machine Learning

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. This self contained textbook bridges the gap between mathematical and machine learning texts introducing the mathematical concepts w...See More