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Probabilistic machine learning for civil engineers

Probabilistic machine learning for civil engineers (1회 대출)

자료유형
단행본
개인저자
Goulet, James-A.
서명 / 저자사항
Probabilistic machine learning for civil engineers / James-A. Goulet.
발행사항
Cambridge, Massachusetts :   The MIT Press,   2020.  
형태사항
xxviii, 269 p. : ill. (some col.) ; 26 cm.
ISBN
9780262538701 (paperback)
요약
"The book introduces probabilistic machine learning concepts to civil engineering students and professionals, who typically do not have the background necessary to understand the subject from a purely computer science perspective. It presents key approaches among the three sub-fields of machine learning: supervised, unsupervised, and reinforcement learning. The methods are demonstrated through step-by-step examples and copius illustrations in order to simplify abstract concepts. The book will prepare readers to access the vast body of literature from the field of machine learning"--
서지주기
Includes bibliographical references and index.
일반주제명
Machine learning. Probabilities.
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001 000046037774
005 20200723150324
008 200723s2020 maua b 001 0 eng d
010 ▼a 2019027152
020 ▼a 9780262538701 (paperback)
020 ▼z 9780262358019 (ebook)
035 ▼a (KERIS)REF000019151366
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
050 0 0 ▼a Q325.5 ▼b .G68 2020
082 0 0 ▼a 006.3/1 ▼2 23
084 ▼a 006.31 ▼2 DDCK
090 ▼a 006.31 ▼b G698p
100 1 ▼a Goulet, James-A.
245 1 0 ▼a Probabilistic machine learning for civil engineers / ▼c James-A. Goulet.
260 ▼a Cambridge, Massachusetts : ▼b The MIT Press, ▼c 2020.
300 ▼a xxviii, 269 p. : ▼b ill. (some col.) ; ▼c 26 cm.
504 ▼a Includes bibliographical references and index.
520 ▼a "The book introduces probabilistic machine learning concepts to civil engineering students and professionals, who typically do not have the background necessary to understand the subject from a purely computer science perspective. It presents key approaches among the three sub-fields of machine learning: supervised, unsupervised, and reinforcement learning. The methods are demonstrated through step-by-step examples and copius illustrations in order to simplify abstract concepts. The book will prepare readers to access the vast body of literature from the field of machine learning"-- ▼c Provided by publisher.
650 0 ▼a Machine learning.
650 0 ▼a Probabilities.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.31 G698p 등록번호 121253866 도서상태 대출중 반납예정일 2021-07-06 예약 예약가능 R 서비스 M

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