Machine learning : the art and science of algorithms that make sense of data / Peter Flach.

By:

Flach, Peter A

Material type: Text

TextLanguage: English Publication details: Cambridge : Cambridge University Press, 2012.Description: xvii, 396 p. : col. ill. ; 26 cmISBN:

9781107096394 (hbk.) :
1107096391 (hbk.) :
9781107422223 (pbk.) :
1107422221 (pbk.) :
9781316506110

Subject(s):

DDC classification:

006.31 23 FLA

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 --

Summary: '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.

List(s) this item appears in: Weekly Addition

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	006.31 FLA (Browse shelf(Opens below))	Available		36777

Formerly CIP.

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 --

'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.

Includes bibliographical references and index.

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