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Understanding machine learning : from theory to algorithms / Shai Shalev-Shwartz, Shai Ben-David.

By: Shalev-Shwartz, Shai | [author.]Contributor(s): Ben-David, Shai | [author.]Material type: TextTextLanguage: English Publication details: New York, NY, USA : Cambridge University Press, 2014 Description: xvi, 397 pages : illustrations (black and white) ; 27 cmISBN: 9781107057135; 9781107512825Subject(s): Machine learning | AlgorithmsDDC classification: 006.31
Contents:
PART I:Foundations PART II:From Theory to Algorithms PART III:Additional Learning Models PART IV:Advanced Theory
Summary: "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 Read more...
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General Books General Books CUTN Central Library

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Non-fiction 006.31 SHA (Browse shelf(Opens below)) Available 36788

PART I:Foundations PART II:From Theory to Algorithms PART III:Additional Learning Models PART IV:Advanced Theory


"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 Read more...

Includes bibliographical references and index.

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