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Synopsis
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
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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.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2014
- ISBN 10 1107057132
- ISBN 13 9781107057135
- BindingHardcover
- LanguageEnglish
- Number of pages414
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UNDERSTANDING MACHINE LEARNING: FROM THEORY TO ALGORITHMS
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
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Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Seller Inventory # ABEJUNE24-150481
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Understanding Machine Learning: From Theory to Algorithms
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Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Seller Inventory # M01107057132-G
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Understanding Machine Learning: From Theory to Algorithms
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
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Hardcover
Seller: medimops, Berlin, Germany
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Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Seller Inventory # M01107057132-V
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Understanding Machine Learning : From Theory to Algorithms
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ISBN 10: 1107057132
ISBN 13: 9781107057135
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Understanding Machine Learning
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Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
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Understanding Machine Learning: From Theory to Algorithms
Published by
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ISBN 10: 1107057132
ISBN 13: 9781107057135
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Understanding Machine Learning: From Theory to Algorithms
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ISBN 13: 9781107057135
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Understanding Machine Learning (Hardcover)
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ISBN 10: 1107057132
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Hardcover. Condition: new. Hardcover. 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 a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107057135
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Understanding Machine Learning : From Theory to Algorithms
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
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Understanding Machine Learning
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ISBN 10: 1107057132
ISBN 13: 9781107057135
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