| 000 | 01764nam a2200445 a 4500 | ||
|---|---|---|---|
| 005 | 20250919174658.0 | ||
| 006 | m d | ||
| 007 | cr nn 008maaau | ||
| 008 | 100623s2009 nyu j eng d | ||
| 020 | _a9780387848587 (electronic bk.) | ||
| 035 | _a(Springer)978-0-387-84857-0 | ||
| 040 | _aUKM | ||
| 050 | 4 |
_aQ325.75 _b.H37 2009 |
|
| 082 | 0 | 4 |
_a006.31 _222 |
| 090 |
_aQ325.75 _b.H356 2009 |
||
| 100 | 1 |
_aHastie, Trevor- _eauthor. |
|
| 245 | 1 | 4 |
_aThe elements of statistical learning _h[electronic resource] : _bdata mining, inference, and prediction / _cby Jerome Friedman, Robert Tibshirani, Trevor Hastie. |
| 250 | _a2nd ed. | ||
| 260 |
_aNew York, NY : _bSpringer-Verlag New York, _c2009. |
||
| 300 |
_axxii, 745 p. : _bill., digital ; _c24 cm. |
||
| 440 | 0 |
_aSpringer series in statistics, _x0172-7397 |
|
| 650 | 0 | _aSupervised learning (Machine learning) | |
| 650 | 2 | 4 | _aStatistical Theory and Methods. |
| 650 | 1 | _aStatistics. | |
| 650 | 2 | _aStatistics for Engineering, Physics, Computer Science, Chemistry & Geosciences. | |
| 650 | 2 | _aComputer Appl. in Life Sciences. | |
| 650 | 2 | _aArtificial Intelligence (incl. Robotics) | |
| 650 | 2 | _aComputational Biology/Bioinformatics. | |
| 650 | 2 | _aData Mining and Knowledge Discovery. | |
| 700 | 1 | _aTibshirani, Robert. | |
| 700 | 1 | _aFriedman, J. H. | |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 856 | 4 | 0 | _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1007/b94608 |
| 907 |
_a.b14746712 _b2024-02-02 _c2019-11-12 |
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| 942 |
_n0 _kQ325.75 .H356 2009 |
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| 914 | _avtls003435592 | ||
| 998 |
_ae0001 _b2010-10-06 _cm _dz _feng _gnyu _y0 _z.b14746712 |
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