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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, April of 2020 ‧
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This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

Mathematics For Machine Learning

by Marc Peter (University College London) Deisenroth, Cheng Soon Ong e A. Aldo (Imperial College London) Faisal

Property Description
ISBN: 9781108470049
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: April of 2020
Language: English
Dimensions: 187 x 259 x 22 mm
Cover: Hardcover
Pages: 390
Format: Book
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781108470049