| 000 | 01386nam a2200337 a 4500 | ||
|---|---|---|---|
| 005 | 20260112063322.0 | ||
| 020 | _a9780387848570 (hardcover : alk. paper) | ||
| 039 |
_a202110061140 _bstaff _c202110061140 _d staff _c201508172103 _d staff _c201508172103 _d staff _y 201505181552 _z staff |
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| 082 |
_a006.31 _bHAS [ Shelf 73 ] |
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| 100 | _aHastie, Trevor. | ||
| 245 |
_aThe elements of statistical learning : _bdata mining, inference, and prediction / _cTrevor Hastie, Robert Tibshirani, Jerome Friedman. |
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| 250 | _a2nd ed. | ||
| 260 |
_aNew York, NY : _bSpringer, _cc2009. |
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| 300 |
_axxii, 745 p. : _bill. (some col.) ; _c25 cm. |
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| 490 |
_aSpringer series in statistics, _x 0172-7397 |
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| 504 | _aIncludes bibliographical references (p. [699]-727) and indexes. | ||
| 650 | _aMachine learning. | ||
| 650 |
_aStatistics _x Methodology. |
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| 650 | _aData mining. | ||
| 650 | _aBioinformatics. | ||
| 650 | _aInference. | ||
| 650 | _aForecasting. | ||
| 650 | _aComputational intelligence. | ||
| 700 | _aTibshirani, Robert. | ||
| 700 |
_aFriedman, J. H. _q (Jerome H.) |
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| 906 |
_a7 _bcbc _corignew _d 2 _e epcn _f 20 _g y-gencatlg |
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| 925 |
_aacquire _b2 shelf copies _x policy default |
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| 991 | _aVIRTUA40 | ||
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| 909 | _a5299 | ||
| 999 |
_c4760 _d4760 |
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