Normal view MARC view ISBD view

Introduction to data science / authored by Gaoyan Ou ... [et al.] ; translated by Binyang Li, Shumin Shi. - Singapore : World Scientific, c2024. - 1 online resource (xvi, 428 p.)

Includes bibliographical references.

Introduction -- Data preprocessing -- Regression model -- Classification model -- 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"--


Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.

ISBN: 9789811263903 9811263906

LCCN: 2023006247

Subjects--Topical Terms:
Big data.
Electronic data processing.
Multivariate analysis.
Data mining.
Algorithms.

Index Terms--Genre/Form:
Electronic books.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7