000 01628n a2200445#a 4500
001 39390
003 OCoLC
005 20231215160028.0
008 180416t20172009nyua b 001 0 eng d
020 _a9780387848570
020 _a0387848576
020 _z9780387848587
035 _aon1036238067
040 _cIMPA
082 _a519.5
_bH356e
090 _ama2
100 1 _aHastie, Trevor
_eauthor.
_935343
245 1 4 _aThe elements of statistical learning:
_bdata mining, inference, and prediction/
_cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250 _aSecond edition, corrected.
264 1 _aNew York:
_bSpringer,
_c[2017]
264 3 _c2017
300 _axxii, 745 pages:
_billustrations (chiefly colour);
_c25 cm
490 1 _aSpringer series in statistics,
_x0172-7397
500 _aSecond edition originally published : 2009.
500 _a"Corrected at 12th printing 2017"--Title page verso.
504 _aIncludes bibliographical references (pages 699-727) and index.
650 0 _aSupervised learning (Machine learning)
_917167
650 0 _aElectronic data processing.
_937087
650 0 _aStatistics.
_943790
650 0 _aBiology
_xData processing.
_937216
650 0 _aComputational Biology.
_912478
650 0 _aMathematics
_xData processing
_938408
650 0 _aData mining.
_917804
697 _aMatemática Aplicada 02-
_xProbabilidade e Estatística.
_923729
700 1 _aTibshirani, Robert
_eauthor.
_935049
700 1 _aFriedman, J. H.
_q(Jerome H.)
_917169
830 0 _aSpringer series in statistics.
_944309
942 _2impa
_cBK
999 _c37929
_d37929