000 | 01739nam a2200409 i 4500 | ||
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001 | 714261 | ||
005 | 20230419193559.0 | ||
006 | m o d | | ||
007 | cr cnu|||||||| | ||
008 | 200410s2020 enk o 000 0 eng d | ||
020 | _z9780128188033 | ||
020 | _a9780128188040 (e-book) | ||
035 | _a(MiAaPQ)EBC6118601 | ||
035 | _a(MiAaPQ)EBC6118601 | ||
035 | _a(Au-PeEL)EBL6118601 | ||
035 | _a(OCoLC)1142518802 | ||
040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ _dUkLoUWL |
||
050 | 4 |
_aQ325.5 _b.T446 2020 |
|
082 | 0 |
_a006.31 _223 |
|
100 | 1 |
_aTheodoridis, Sergios, _d1951- _eauthor. |
|
245 | 1 | 0 |
_aMachine learning : _ba Bayesian and optimization perspective / _cSergios Theodoridis. |
250 | _a2nd edition. | ||
264 | 1 |
_aLondon, United Kingdom : _bAcademic Press, an imprint of Elsevier, _c[2020] |
|
264 | 4 | _c©2020 | |
300 | _a1 online resource (1,162 pages) | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
588 | _aDescription based on print version record. | ||
590 | _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 |
_aMachine learning _xMathematical models. |
|
650 | 0 | _aBayesian statistical decision theory. | |
776 | 0 | 8 |
_iPrint version: _aTheodoridis, Sergios. _tMachine learning : a Bayesian and optimization perspective. _bSecond edition. _dLondon, United Kingdom : Academic Press, an imprint of Elsevier, c2020 _h1162 pages _z9780128188033 |
797 | 2 | _aProQuest (Firm) | |
856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/uwestlon/detail.action?docID=6118601 _zClick to View 1 copy |
942 | _n0 | ||
999 |
_c59882 _d59882 |