Mathematics for Machine Learning (Cambridge University Press)
Friday, 24 April 2020

In this book, authors Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong cover the fundamental mathematical tools needed to understand machine learning including 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.

<ASIN:110845514X>

 

Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
Publisher: Cambridge University Press
Date: April 2020
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial IntelligenceMathematics 

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