000 01454 am a2200349Ia 4500
999 _c28501
_d28472
001 ocn781938256
003 EG-ScBUE
005 20200718153626.0
008 120328t2012 xxua f b 001 0 eng d
020 _a9781600490064
020 _a1600490069
035 _a(OCoLC)ocn781938256
035 _a(OCoLC)781938256
040 _aYDXCP
_beng
_erda
_cYDXCP
_dCIT
_dMUU
_dOCLCQ
_dIWA
_dEG-ScBUE
082 0 4 _a006.31
_bABU
_222
100 1 _aAbu-Mostafa, Yaser S.,
_d1957-
_eauthor.
245 1 0 _aLearning from data :
_ba short course /
_cYaser S. Abu-Mostafa, California Institute of Technology, Malik Magdon-Ismail, Rensselaer Polytechnic Institute, Hsuan-Tien Lin, National Taiwan University.
264 1 _a[United States] :
_bAML Book,
_c[2012]
264 4 _cc2012
300 _axii, 201 pages :
_billustrations (chiefly color) ;
_c26 cm
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
504 _aIncludes bibliographical references and index.
505 0 _a1. The learning problem -- 2. Training versus testing -- 3. The linear model -- 4. Overfitting -- 5. Three learning principles -- Epilogue -- Further reading -- Appendix : Proof of the VC bound -- Notation.
650 7 _aMachine learning.
_2BUEsh
653 _bCOMSCI
_cJuly2020
655 _vReading book
_934232
700 1 _aMagdon-Ismail, Malik,
_eauthor.
700 1 _aLin, Hsuan-Tien,
_eauthor.
942 _2ddc
_cBB