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Pages: 64
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Type: BOOK - Published: 2019-12-26 - Publisher:
Machine Learning is everywhere these days and a lot of fellows desire to learn it and even master it! This burning desire creates a sense of impatience. We are
Language: en
Pages: 211
Pages: 211
Type: BOOK - Published: 2018-01-24 - Publisher: Machine Learning Mastery
Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Eb
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
Language: en
Pages: 507
Pages: 507
Type: BOOK - Published: 2020-05-13 - Publisher: Springer Nature
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution
Language: en
Pages: 373
Pages: 373
Type: BOOK - Published: 2018-08-01 - Publisher: Springer
This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be