Related Books
Language: en
Pages: 415
Pages: 415
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Language: en
Pages: 320
Pages: 320
Type: BOOK - Published: 2020 - Publisher: Lulu.com
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Language: en
Pages: 475
Pages: 475
Type: BOOK - Published: 2019-01-23 - Publisher: Simon and Schuster
Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Tras
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: 544
Pages: 544
Type: BOOK - Published: 2014-01-10 - Publisher: MIT Press
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and