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Understanding machine learning : From theory to algorithms

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 ide...

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Bibliographic Details
Main Author: Shalev-Shwartz, Shai.
Format: Book
Language:Undetermined
Published: New York Cambridge University Press 2014
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Institutions: Trung tâm Học liệu Trường Đại học Cần Thơ
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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 algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks.