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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: 229
Pages: 229
Type: BOOK - Published: 2019-08-01 - Publisher: Springer
This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding
Language: en
Pages: 510
Pages: 510
Type: BOOK - Published: 2021-12-14 - Publisher: Simon and Schuster
Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon
Language: en
Pages: 258
Pages: 258
Type: BOOK - Published: 2024-10-15 - Publisher: Universal-Publishers
This is a comprehensive and thought-provoking exploration of the nature of machine understanding, its evaluation, and its implications. The book proposes a new
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