000 01397cam a22003735a 4500
001 15512507
005 20231011140306.0
008 081106s2009 nyua b 001 0 eng
010 _a 2008941148
020 _a9780387848570 (hardcover : alk. paper)
020 _a9780387848587 (electronic)
040 _aDLC
_cDLC
_dDLC
050 0 0 _aQ325.5
_bHAS 2009
082 0 0 _a006.3/1
_222
100 1 _aHastie, Trevor.
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, NY :
_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.
650 0 _aData mining.
650 0 _aBioinformatics.
650 0 _aInference.
650 0 _aForecasting.
650 0 _aComputational intelligence.
700 1 _aTibshirani, Robert.
700 1 _aFriedman, J. H.
_q(Jerome H.)
906 _a7
_bcbc
_corignew
_d2
_eepcn
_f20
_gy-gencatlg
942 _2lcc
_cBK
999 _c23769
_d23769