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Introduction to data science /
~
Ou, Gaoyan.
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Introduction to data science /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Introduction to data science // authored by Gaoyan Ou ... [et al.] ; translated by Binyang Li, Shumin Shi.
other author:
Ou, Gaoyan.
Published:
Hackensack, NJ :World Scientific, : c2024.,
Description:
xvi, 428 p. :ill. (some col.) ;24 cm.
[NT 15003449]:
Data preprocessing -- Regression model -- Classification models -- Ensemble method -- Clustering model -- Association rule mining -- Dimensionality reduction -- Feature selection -- EM algorithm -- Probabilistic graphical model -- Text analysis -- Graph and network analysis -- Deep learning -- Distributed computing.
Subject:
Big data. -
ISBN:
9789811263897
Introduction to data science /
Introduction to data science /
authored by Gaoyan Ou ... [et al.] ; translated by Binyang Li, Shumin Shi. - Hackensack, NJ :World Scientific,c2024. - xvi, 428 p. :ill. (some col.) ;24 cm.
Includes bibliographical references (p. 411-428)
Data preprocessing -- Regression model -- Classification models -- Ensemble method -- Clustering model -- Association rule mining -- Dimensionality reduction -- Feature selection -- EM algorithm -- Probabilistic graphical model -- Text analysis -- Graph and network analysis -- Deep learning -- Distributed computing.
"The book systematically introduces the basic contents of data science, including data preprocessing and basic methods of data analysis, handling special problems (e.g. text analysis), deep learning, and distributed systems. In addition to systematically introducing the basic content of data science from a theoretical point of view, the book also provides a large number of data analysis practice cases"--
ISBN: 9789811263897US148.00
LCCN: 2023006247Subjects--Topical Terms:
2045508
Big data.
LC Class. No.: QA76.9.B45 / O9 2024
Dewey Class. No.: 005.7
Introduction to data science /
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authored by Gaoyan Ou ... [et al.] ; translated by Binyang Li, Shumin Shi.
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Hackensack, NJ :
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World Scientific,
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c2024.
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xvi, 428 p. :
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ill. (some col.) ;
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24 cm.
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Includes bibliographical references (p. 411-428)
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Data preprocessing -- Regression model -- Classification models -- Ensemble method -- Clustering model -- Association rule mining -- Dimensionality reduction -- Feature selection -- EM algorithm -- Probabilistic graphical model -- Text analysis -- Graph and network analysis -- Deep learning -- Distributed computing.
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"The book systematically introduces the basic contents of data science, including data preprocessing and basic methods of data analysis, handling special problems (e.g. text analysis), deep learning, and distributed systems. In addition to systematically introducing the basic content of data science from a theoretical point of view, the book also provides a large number of data analysis practice cases"--
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Ou, Gaoyan.
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Li, Binyang
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Shi, Shumin
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based on 0 review(s)
ISSUES
壽豐校區(SF Campus)
-
last issue:
1 (2023/12/13)
Details
Location:
ALL
六樓西文書區HC-Z(6F Western Language Books)
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
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W0074508
六樓西文書區HC-Z(6F Western Language Books)
01.外借(書)_YB
一般圖書
QA76.9.B45 O9 2024
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1 records • Pages 1 •
1
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