Mathematics for Machine Learning
by Deisenroth, Marc Peter, Faisal, A. Aldo, and Ong, Cheng Soon
Looky Rating System: Violence 0/5, Love & Romance 0/5, Mental Health 0/5, Language 0/5, Substance Use 0/5, Fear / Horror 0/5, Fantasy / Supernatural 0/5, LGBTQ+ Representation 0/5.
Description
"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.