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"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. These include a…

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Editions

4 editions
  • Paperback · English · 2015
    CAMBRIDGE INDIA · 9781107512825
  • Other · English · 2014
    Understanding Machine Learning: From Theory to Algorithms
    Cambridge University Press · 410 pages · 9781107057135
  • Other · English · 2014
    Cambridge University Press · 9781107298019
  • Other · English · 2014
    Cambridge University Press · 9781139950619
Machine learningAlgorithmsCOMPUTERSComputer Vision & Pattern RecognitionMaschinelles Lernen