Mathematics for Machine Learning

Marsoni

M251S

$50.01

Get it in 3 business days with 1 day shipping. Friday, May 29

Mathematics for Machine LearningThe 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

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Reviewed in the United States on March 13, 2026