Understanding Machine Learning

Understanding Machine Learning
Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press
Total Pages: 415
Release: 2014-05-19
Genre: Computers
ISBN: 1107057132
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Download Understanding Machine Learning Book in PDF, Epub and Kindle

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.


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

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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

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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 Algorithms and Applications
Language: en
Pages: 372

Machine Learning Algorithms and Applications

Authors: Mettu Srinivas
Categories: Computers
Type: BOOK - Published: 2021-08-10 - Publisher: John Wiley & Sons

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Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It
Machine Learning
Language: en
Pages: 0

Machine Learning

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

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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
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

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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