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Machine Learning The Art and Science of Algorithms That Make Sense of Data

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ISBN-10: 1107096391

ISBN-13: 9781107096394

Edition: 2012

Authors: Peter A. Flach

List price: $88.00
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Description:

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…    
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Book details

List price: $88.00
Copyright year: 2012
Publisher: Cambridge University Press
Publication date: 9/20/2012
Binding: Hardcover
Pages: 410
Size: 7.25" wide x 9.50" long x 0.75" tall
Weight: 2.244
Language: English

Prologue: a machine learning sampler
The ingredients of machine learning
Binary classification and related tasks
Beyond binary classification
Concept learning
Tree models
Rule models
Linear models
Distance-based models
Probabilistic models
Features
In brief: model ensembles
In brief: machine learning experiments
Epilogue: where to go from here
Important points to remember
Bibliography
Index