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| LEADER |
00946nam a22002777a 4500 |
| 008 |
181231b ||||| |||| 00| 0 eng d |
| 020 |
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|a 9780387848570
|
| 082 |
|
|
|a 525
|
| 100 |
|
|
|a Hastie, Trevor.
|
| 245 |
|
|
|a The elements of statistical learning :
|b data mining, inference, and prediction /
|c Trevor Hastie, Robert Tibshirani, Jerome Friedman.
|
| 250 |
|
|
|a 2nd ed.
|
| 260 |
|
|
|a New York, NY :
|b Springer,
|c c2009.
|
| 300 |
|
|
|a 745 p.
|
| 490 |
|
|
|a Springer series in statistics,
|
| 650 |
|
|
|a Machine learning.
|
| 650 |
|
|
|a Statistics
|x Methodology.
|
| 650 |
|
|
|a Data mining.
|
| 650 |
|
|
|a Bioinformatics.
|
| 650 |
|
|
|a Inference.
|
| 650 |
|
|
|a Forecasting.
|
| 650 |
|
|
|a Computational intelligence.
|
| 700 |
|
|
|a Tibshirani, Robert.
|
| 700 |
|
|
|a Friedman, Jerome.
|
| 942 |
|
|
|c BK
|
| 999 |
|
|
|c 300496
|d 300496
|
| 952 |
|
|
|0 0
|1 0
|2 ddc
|4 0
|6 525_000000000000000_HAS_E
|7 0
|9 343269
|a STA
|b STA
|c ST1
|d 2018-12-31
|i 2382
|o 525 HAS/E
|p STA2382
|r 2018-12-31
|y BK
|