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

By: Flach, Peter AMaterial type: TextTextLanguage: English Publication details: Cambridge : Cambridge University Press, 2012. Description: xvii, 396 p. : col. ill. ; 26 cmISBN: 9781107096394 (hbk.) :; 1107096391 (hbk.) :; 9781107422223 (pbk.) :; 1107422221 (pbk.) :; 9781316506110Subject(s): Machine learning | Algorithmes | -- TextbooksDDC classification: 006.31
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.
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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library

This is a searchable open catalogue of all library of the Central University of Tamil Nadu.

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.

Uk

Includes bibliographical references and index.

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