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00870nam a2200217 a 4500 |
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20171111225950.0 |
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010412s2001 nyua b 001 0 eng |
| 020 |
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|a 0387952845 (alk. paper)
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| 040 |
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|a DLC
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| 050 |
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|a Q325.75
|b H37 2001
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| 082 |
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|2 21
|a 006.3/1
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| 100 |
1 |
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|a Hastie, Trevor
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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.
|
| 260 |
1 |
4 |
|a New York :
|b Springer,
|c c2001.
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| 300 |
1 |
4 |
|a xvi, 533 p. :
|b col. ill. ;
|c 25 cm.
|
| 504 |
1 |
4 |
|a Includes bibliographical references (p. [509]-522) and indexes.
|
| 650 |
1 |
4 |
|a Supervised learning (Machine learning)
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| 700 |
1 |
4 |
|a Tibshirani, Robert
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| 700 |
1 |
4 |
|a Friedman, J. H.
|q (Jerome H.)
|
| 952 |
|
|
|a GrThPMO
|b 59affb146c5ad17d7e5a5fa6
|c 952a
|d 9528
|e Q325.75.H37 2001
|t 7
|x m
|z Books
|
