Machine learning :the art and science of algorithms that make sense of data Peter Flach.
Material type:
TextPublication details: New York : Cambridge University Press, 2015Description: xvii, 396 p. : col. ill. ; 24 cmISBN: - 9781107422223 (pbk.)
- 006.31 FLA/Mac 23
- Q325.5 .F53 2012
| Item type | Current library | Call number | Status | Date due | Barcode | |
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Books
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Goa University Library MCA Book Bank | 006.31 FLA/Mac (Browse shelf(Opens below)) | Available | 159677 |
Includes bibliographical references 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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