Understanding Machine Learning

Understanding Machine Learning
Author :
Publisher : Cambridge University Press
Total Pages : 415
Release :
ISBN-10 : 9781107057135
ISBN-13 : 1107057132
Rating : 4/5 (132 Downloads)

Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.


Understanding Machine Learning Related Books

Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Machine Understanding
Language: en
Pages: 229
Authors: Zbigniew Les
Categories: Technology & Engineering
Type: BOOK - Published: 2019-08-01 - Publisher: Springer

DOWNLOAD EBOOK

This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding
Machine Learning for Kids
Language: en
Pages: 290
Authors: Dale Lane
Categories: Computers
Type: BOOK - Published: 2021-01-19 - Publisher: No Starch Press

DOWNLOAD EBOOK

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered
Understanding Machine Understanding
Language: en
Pages: 258
Authors: Ken Clements
Categories: Computers
Type: BOOK - Published: 2024-10-15 - Publisher: Universal-Publishers

DOWNLOAD EBOOK

This is a comprehensive and thought-provoking exploration of the nature of machine understanding, its evaluation, and its implications. The book proposes a new
Interpretable Machine Learning
Language: en
Pages: 320
Authors: Christoph Molnar
Categories: Computers
Type: BOOK - Published: 2020 - Publisher: Lulu.com

DOWNLOAD EBOOK

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp