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Probabilistic machine learning : = a...

Murphy, Kevin P., (1970-)

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Probabilistic machine learning : = an introduction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Probabilistic machine learning :/ Kevin P. Murphy.
Reminder of title:	an introduction /
Author:	Murphy, Kevin P.,
Published:	Cambridge, Mass. :The MIT Press, : c2022.,
Description:	xxix, 826 p. :ill. (some col.) ;24 cm.
Subject:	Machine learning. -
ISBN:	9780262046824

Probabilistic machine learning : = an introduction /
Murphy, Kevin P.,1970-

Probabilistic machine learning :an introduction /Kevin P. Murphy. - Cambridge, Mass. :The MIT Press,c2022. - xxix, 826 p. :ill. (some col.) ;24 cm. - Adaptive computation and machine learning series. - Adaptive computation and machine learning..

Includes bibliographical references and index.

"This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"--

ISBN: 9780262046824NT2650.00

LCCN: 2021027430Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / M87 2022

Dewey Class. No.: 006.31

Probabilistic machine learning : = an introduction /
LDR:01340cam a2200229 a 4500 001 2339517
003 OCoLC
005 20220927035225.0
008 240612s2022 maua b 001 0 eng
010 $a 2021027430
020 $a 9780262046824 $q (hbk.) : $c NT2650.00
020 $a 0262046822 $q (hbk.)
040 $a DLC $b eng $c DLC $d OCLCO $d OCLCF $d UKMGB $d WAU $d YDX $d OCLCO $d NDHU
041 0 # $a eng
042 $a nbic
050 # 4 $a Q325.5 $b M87 2022
082 0 0 $a 006.31 $2 23
100 1 $a Murphy, Kevin P., $d 1970- $3 3692788
245 1 0 $a Probabilistic machine learning : $b an introduction / $c Kevin P. Murphy.
260 # $a Cambridge, Mass. : $b The MIT Press, $c c2022.
300 $a xxix, 826 p. : $b ill. (some col.) ; $c 24 cm.
490 1 $a Adaptive computation and machine learning series
504 $a Includes bibliographical references and index.
520 # $a "This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"-- $c Provided by publisher.
650 # 0 $a Machine learning. $3 533906
650 # 0 $a Probabilities. $3 518889
650 # 2 $a Probability. $3 518898
830 0 $a Adaptive computation and machine learning. $3 1047988