ISBN 10: 1107422221 / ISBN 13: 9781107422223
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Inhaltsangabe: Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.

Rezension: "This textbook is clearly written and well organized. Starting from the basics, the author skillfully guides the reader through his learning process by providing useful facts and insight into the behavior of several machine learning techniques, as well as the high-level pseudocode of many key algorithms." < /br>Fernando Berzal, Computing Reviews

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Peter Flach
Verlag: Cambridge University Pr. Sep 2012 (2012)
ISBN 10: 1107422221 ISBN 13: 9781107422223
Neu Taschenbuch Anzahl: 2
(Einbeck, Deutschland)

Buchbeschreibung Cambridge University Pr. Sep 2012, 2012. Taschenbuch. Buchzustand: Neu. 244x189x27 mm. Neuware - As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook. 409 pp. Englisch. Artikel-Nr. 9781107422223

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