Machine Learning South Asia Edition: The Art And Science Of Algorithms That Make Sense Of Data

Peter Flach

Published by Cambridge India
ISBN 10: 1316506118 / ISBN 13: 9781316506110
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Title: Machine Learning South Asia Edition: The Art...
Publisher: Cambridge India
Binding: Pb
Book Condition: Brand New
Edition: International Edition.

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Book Description Cambridge University Press 0. Softcover. Book Condition: New. 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. Printed Pages: 414. Bookseller Inventory # 105844

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Book Description Cambridge University Press 0. Softcover. Book Condition: New. 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. Printed Pages: 414. Bookseller Inventory # 105844

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