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00000cam a2200000 7i4500 |
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0000045349 |
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20081115.0 |
| 008 |
030617s2001 nyua eng |
| 020 |
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|a 0387952845 (alk. paper)
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| 020 |
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|a 9780387952840
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| 090 |
0 |
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|a Q325.75
|b H37 2001
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| 100 |
1 |
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|a Hastie, Trevor ,
|e author
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| 245 |
1 |
4 |
|a The elements of statistical learning :
|b data mining, inference, and prediction : with 200 full-color illustrations
|c Trevor Hastie, Robert Tibshirani, Jerome Friedman
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| 260 |
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|a New York :
|b Springer ,
|c c2001
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| 300 |
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|a xvi, 533 p. :
|b col.ill. ;
|c 25 cm.
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| 440 |
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0 |
|a Springer series in statistics
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| 504 |
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|a Includes bibliographical references and indexs
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| 650 |
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0 |
|a Supervised learning (Machine learning)
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| 700 |
1 |
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|a Hastie, Trevor ,
|e author
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| 700 |
1 |
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|a Tibshirani, Robert ,
|e author
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| 856 |
4 |
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|3 3 Table of contents only
|u http://www.loc.gov/catdir/enhancements/fy0813/2001031433-t.html
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| 856 |
4 |
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|3 Publisher description
|u http://www.loc.gov/catdir/enhancements/fy0813/2001031433-d.html
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| 999 |
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|a 1000111810
|b Book
|c OPEN SHELF (30 DAYS)
|e Gong Badak Campus
|