000 01413cam a2200373 a 4500
001 200426230
003 TR-AnTOB
005 20250630110549.0
007 ta
008 120328s2012 xxua b 001 0 eng c
020 _a1600490069
_q(hardback)
020 _a9781600490064
_q(hardback)
035 _a.b73504221
035 _a(TR-AnTOB)200426230
040 _aYDXCP
_beng
_erda
_cYDXCP
_dCIT
_dMUU
_dOCLCQ
_dIWA
_dOSU
_dUtOrBLW
_dTR-AnTOB
041 0 _aeng
049 _aOSUU
050 4 _aQ325.5
_b.A282 2012
090 _aQ325.5
_b.A282 2012
100 1 _aAbu-Mostafa, Yaser S.,
_d1957-
_eauthor
_9149031
245 1 0 _aLearning from data :
_ba short course /
_cYaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin.
264 1 _a[United States] :
_bAMLBook.com,
_c2012.
300 _axii, 201 pages :
_billustrations (chiefly color) ;
_c26 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aBIBINDX
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 0 _aMachine learning
_vTextbooks
_9738
700 1 _aMagdon-Ismail, Malik
_eauthor
_9149032
700 1 _aLin, Hsuan-Tien
_eauthor
_9149033
942 _2lcc
_cBK
999 _c200426230
_d44154