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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