000 01550cam a22004095a 4500
001 15512507
003 Bd-DhDIU
005 20251118101031.0
008 081106s2009 nyua b 001 0 eng
010 _a 2008941148
020 _a9780387848570
_qhardcover : alk. paper
020 _a9780387848587
_qelectronic
035 _a15512507
040 _aDLC
_cDLC
_dDLC
050 0 0 _aQ325.5
_b.H39 2009
082 0 0 _a006.31/ H356t
_223
100 1 _aHastie, Trevor.
_921463
245 1 4 _aThe elements of statistical learning :
_bdata mining, inference, and prediction /
_cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250 _a2nd ed.
260 _aNew York :
_bSpringer,
_cc2009.
300 _axxii, 745 p. :
_bill. (some col.) ;
_c25 cm.
490 0 _aSpringer series in statistics,
_x0172-7397
504 _aIncludes bibliographical references (p. [699]-727) and indexes.
650 0 _aMachine learning.
650 0 _aStatistics
_xMethodology.
_96762
650 0 _aData mining.
650 0 _aBioinformatics.
650 0 _aInference.
_921464
650 0 _aForecasting.
650 0 _aComputational intelligence.
_921465
700 1 _aTibshirani, Robert.
_921466
700 1 _aFriedman, J. H.
_q(Jerome H.)
_921467
906 _a7
_bcbc
_corignew
_d2
_eepcn
_f20
_gy-gencatlg
942 _2ddc
_cBK
_01
999 _c17625
_d17625