Machine Learning - The Art and Science of Algorithms that Make Sense of Data (Hardcover, 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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	September 2012
First published:	September 2012
Authors:	Peter Flach
Dimensions:	253 x 182 x 23mm (L x W x T)
Format:	Hardcover
Pages:	396
Edition:	New
ISBN-13:	978-1-107-09639-4
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-107-09639-1
Barcode:	9781107096394

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