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 |