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|a 0387848570
|c 2924
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|a DLC
|c MUT
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| 050 |
0 |
0 |
|a Q325.75
|b H38E44 2009
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| 100 |
1 |
|
|a Hastie, Trevor
|
| 245 |
1 |
4 |
|a The elements of statistical learning : data mining, inference, and prediction
|b /
|c Trevor Hostic,Robert Tibshirani, Jerome Friedman
|
| 250 |
|
|
|a 2nd ed.
|
| 260 |
|
|
|a New York, NY. :
|b Springer,
|c 2009
|
| 300 |
|
|
|a xxii, 745 p. :
|b illus. ;
|c 24 cm.
|
| 440 |
|
0 |
|a Spinger Series in Statistics
|
| 504 |
|
|
|a Includes bibliographical references index.
|
| 650 |
|
0 |
|a Supervised learning (Machine learning)
|
| 700 |
1 |
|
|a Friedman, Jerome
|
| 700 |
1 |
|
|a Tibshirani, Robert
|
| 991 |
|
|
|a MONOGRAPHS
|b 10
|c 2018-11-07 04:42:24
|d 2022-10-12 14:21:04
|e mut
|f n
|g 2018-11-07
|h n
|i a
|j m
|k
|l a
|m
|n a
|o
|p b
|q
|r nyu
|s eng
|t 2009
|u 2nd ed.
|v The elements of statistical learning : data mining, inference, and prediction /
|
