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