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Fundamentals of machine learning for...
~
D'Arcy, Aoife, (1978-)
Fundamentals of machine learning for predictive data analytics :algorithms, worked examples, and case studies /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
006.3/1
書名/作者:
Fundamentals of machine learning for predictive data analytics : : algorithms, worked examples, and case studies // John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.
作者:
Kelleher, John D.,
其他作者:
Mac Namee, Brian,
出版者:
Cambridge, Mass. : : MIT Press,, c2015.
面頁冊數:
xxii, 595 p. : : ill. ;; 24 cm.
標題:
Machine learning.
標題:
Data mining.
標題:
Prediction theory.
ISBN:
9780262029445 (hbk.) :
書目註:
Includes bibliographical references (p. [557]-563) and index.
內容註:
Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics.
Fundamentals of machine learning for predictive data analytics :algorithms, worked examples, and case studies /
Kelleher, John D.,1974-
Fundamentals of machine learning for predictive data analytics :
algorithms, worked examples, and case studies /John D. Kelleher, Brian Mac Namee, Aoife D'Arcy. - Cambridge, Mass. :MIT Press,c2015. - xxii, 595 p. :ill. ;24 cm.
Includes bibliographical references (p. [557]-563) and index.
Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics.
ISBN: 9780262029445 (hbk.) :NTD 2,560
LCCN: 2014046123Subjects--Topical Terms:
202931
Machine learning.
LC Class. No.: Q325.5 / .K455 2015
Dewey Class. No.: 006.3/1
Fundamentals of machine learning for predictive data analytics :algorithms, worked examples, and case studies /
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