Understanding Machine Learning: From Theory to Algorithms
Understanding Machine Learning: From Theory to Algorithms ©c 2014 by Shai Shalev-Shwartz and Shai Ben-David Published 2014 by Ca ...
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Understanding Machine Learning Machine learning is one of the fastest growing areas of computer science, with far-reaching appli ...
UNDERSTANDING MACHINE LEARNING From Theory to Algorithms Shai Shalev-Shwartz The Hebrew University, Jerusalem Shai Ben-David Uni ...
32 Avenue of the Americas, New York, NY 10013-2473, USA Cambridge University Press is part of the University of Cambridge. It fu ...
Triple-S dedicates the book to triple-M ...
vii Preface The termmachine learning refers to the automated detection of meaningful patterns in data. In the past couple of dec ...
viii a “no-free-lunch” theorem. We also discuss how much computation time is re- quired for learning. In the second part of the ...
Contents Understanding Machine Learning,©c2014 by Shai Shalev-Shwartz and Shai Ben-David Published 2014 by Cambridge University ...
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1 Introduction Preface pagevii 1.1 What Is Learning? 1.2 When Do We Need Machine Learning? 1.3 Types of Learning 1.4 Relations ...
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1 Introduction Preface pagevii The subject of this book is automated learning, or, as we will more often call it, Machine Learni ...
20 Introduction of previous spam e-mails. If it matches one of them, it will be trashed. Otherwise, it will be moved to the user ...
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