Understanding Machine Learning: From Theory to Algorithms
Ben-David, Shai,Shalev-Shwartz, Shai
ISBN 10: 1107057132 ISBN 13: 9781107057135
Published by Cambridge University Press, 2014
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Synopsis:
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics...
About the Authors:
Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel.
Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.
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Bibliographic Details
Title: Understanding Machine Learning: From Theory ...
Publisher: Cambridge University Press
Publication Date: 2014
Binding: Hardcover
Condition: Good
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Understanding Machine Learning: From Theory To Algorithms
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Understanding Machine Learning
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ISBN 10: 1107057132
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Understanding Machine Learning: From Theory to Algorithms
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Understanding Machine Learning: From Theory to Algorithms
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ISBN 10: 1107057132
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Understanding Machine Learning: From Theory to Algorithms
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Understanding Machine Learning: From Theory to Algorithms
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UNDERSTANDING MACHINE LEARNING
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