A First Course In Machine Learning
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Language: en
Pages: 428
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Type: BOOK - Published: 2016-10-14 - Publisher: CRC Press
Introduces the main algorithms and ideas that underpin machine learning techniques and applications Keeps mathematical prerequisites to a minimum, providing mat
Language: en
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Type: BOOK - Published: 2022 - Publisher:
"This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statist
Language: en
Pages: 624
Pages: 624
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
Language: en
Pages: 505
Pages: 505
Type: BOOK - Published: 2018-12-25 - Publisher: MIT Press
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machin
Language: en
Pages: 392
Pages: 392
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
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