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Understanding machine learning : from theory to algorithms / Shai Shalev-Shwartz, Shai Ben-David
New York, NY, USA : Cambridge University Press, 2014
xvi, 397 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 006.31
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.
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