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130530s2012 enk eng |
| 020 |
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|a 1107096391 (hardback : alk. paper)
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| 020 |
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|a 1107422221 (paperback : alk. paper)
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| 020 |
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|a 9781107096394 (hardback : alk. paper)
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| 020 |
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|a 9781107422223 (paperback : alk. paper)
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| 050 |
0 |
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|a Q325.5
|b .F53 2012
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| 090 |
0 |
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|a Q325.5
|b .F53 2012
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| 100 |
1 |
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|a Flach, Peter A. ,
|e author
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| 245 |
1 |
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|a Machine learning :
|b the art and science of algorithms that make sense of data
|c Peter Flach
|
| 260 |
|
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|a Cambridge :
|b Cambridge University Press ,
|c c2012
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| 300 |
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|a xvii, 396 p. :
|b ill. (some col.) ;
|c 25 cm.
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| 504 |
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|a Includes bibliographical references (p. 367-381) and index
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| 505 |
0 |
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|a 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
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| 520 |
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|a '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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| 650 |
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0 |
|a Machine learning
|v Textbooks
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| 999 |
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|a 1000158998
|b Book
|c OPEN SHELF (30 DAYS)
|e Gong Badak Campus
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