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)
DOWNLOAD EBOOK
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

Understanding Machine Learning

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
Deep Learning: Fundamentals, Theory and Applications
Language: en
Pages: 163

Deep Learning: Fundamentals, Theory and Applications

Authors: Kaizhu Huang
Categories: Medical
Type: BOOK - Published: 2019-02-15 - Publisher: Springer

DOWNLOAD EBOOK

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures
Machine Learning
Language: en
Pages: 0

Machine Learning

Authors: Seyedeh Leili Mirtaheri
Categories: Business & Economics
Type: BOOK - Published: 2022 - Publisher: CRC Press

DOWNLOAD EBOOK

The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of M
Metaheuristics in Machine Learning: Theory and Applications
Language: en
Pages: 765

Metaheuristics in Machine Learning: Theory and Applications

Authors: Diego Oliva
Categories: Computational intelligence
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolut
Mathematical Theories of Machine Learning - Theory and Applications
Language: en
Pages: 133

Mathematical Theories of Machine Learning - Theory and Applications

Authors: Bin Shi
Categories: Technology & Engineering
Type: BOOK - Published: 2019-06-12 - Publisher: Springer

DOWNLOAD EBOOK

This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradien