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

By:

Flach, Peter A

Material type: Text

TextPublication details: Cambridge ; New York : Cambridge University Press, 2012.Description: xvii, 396 p. : col. ill. ; 25 cmISBN:

9781107422223

Subject(s):

DDC classification:

006.31 23 FLA-M

LOC classification:

Q325.5 .F53 2012

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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD Reference	Computer Science and Engineering	REF 006.31 FLA-M (Browse shelf(Opens below))	Available		003527

Total holds: 0

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

'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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