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Machine learning : = a Bayesian and ...

Theodoridis, Sergios, (1951-)

Machine learning : = a Bayesian and optimization perspective /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning :/ Sergios Theodoridis.
Reminder of title:	a Bayesian and optimization perspective /
remainder title:	Bayesian and optimization perspective
Author:	Theodoridis, Sergios,
Published:	London ;Academic Press, : c2015.,
Description:	xxi, 1050 p. :ill. (some col.) ; : 24 cm.;
Subject:	Bayesian statistical decision theory. -
ISBN:	0128015225 (cloth)

Machine learning : = a Bayesian and optimization perspective /
Theodoridis, Sergios,1951-

Machine learning :a Bayesian and optimization perspective /Bayesian and optimization perspectiveSergios Theodoridis. - London ;Academic Press,c2015. - xxi, 1050 p. :ill. (some col.) ;24 cm.

Includes bibliographical references and index.

"This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches--which are based on optimization techniques--together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models"--Publisher's website.

ISBN: 0128015225 (cloth)

Nat. Bib. No.: GBB517013bnbSubjects--Topical Terms:

527671
Bayesian statistical decision theory.

LC Class. No.: Q325.5 / .T43 2015

Dewey Class. No.: 006.31

Machine learning : = a Bayesian and optimization perspective /
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003 OCoLC
005 20160918225028.0
008 160922s2015 enka b 001 0 eng d
015 $a GBB517013 $2 bnb
019 $a 910979014
020 $a 0128015225 (cloth)
020 $a 9780128015223 (cloth) : $c NT3173
035 $a (OCoLC)893899296 $z (OCoLC)910979014
035 $a ocn893899296
040 $a BTCTA $b eng $c NFU $d WTU $d YDXCP $d CUD $d OCLCF $d MUU $d NLE $d OCLCQ $d GZN $d BDX
041 0 # $a eng
050 1 4 $a Q325.5 $b .T43 2015
082 0 4 $a 006.31 $2 23
100 1 $a Theodoridis, Sergios, $d 1951- $3 636605
245 1 0 $a Machine learning : $b a Bayesian and optimization perspective / $c Sergios Theodoridis.
246 3 0 $a Bayesian and optimization perspective
260 # $a London ; $a San Diego : $c c2015. $b Academic Press, $b Elsevier :
300 $a xxi, 1050 p. : $b ill. (some col.) ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 # $a "This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches--which are based on optimization techniques--together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models"--Publisher's website.
650 # 0 $a Bayesian statistical decision theory. $3 527671
650 # 0 $a Machine learning. $3 561253
650 # 0 $a Mathematical optimization. $3 527675
776 0 8 $i Ebook version $z 9780128017227