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Machine learning : the art and science of algorithms that make sense of data

By: Flach, Peter A.
Material type: materialTypeLabelBookPublisher: Cambridge ; New York : Cambridge University Press, 2012Description: xvii, 396 p. : col. ill. ; 25 cm.ISBN: 9781107422223.Subject(s): Machine learning -- Textbooks | Apprentissage automatique -- Manuels scolaires
Contents:
1. The ingredients of machine learning -- 2. Binary classification and related tasks -- 3. Beyond binary classification -- 4. Concept learning -- 5. Tree models -- 6. Rule models -- 7. Linear models -- 8. Distance-based models -- 9. Probabilistic models -- 10. Features -- 11. Model ensembles -- 12. Machine learning experiments -- Epilogue: where to go from here.
Abstract: 'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, it explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books IIITD
Reference
Computer Science and Engineering REF 006.31 FLA-M (Browse shelf) Available 003527
Total holds: 0

Includes bibliographical references (p. 367-381) and index.

1. The ingredients of machine learning -- 2. Binary classification and related tasks -- 3. Beyond binary classification -- 4. Concept learning -- 5. Tree models -- 6. Rule models -- 7. Linear models -- 8. Distance-based models -- 9. Probabilistic models -- 10. Features -- 11. Model ensembles -- 12. Machine learning experiments -- Epilogue: where to go from here.

'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, it explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.

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