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Introduction to data science / authored by Gaoyan Ou ... [et al.] ; translated by Binyang Li, Shumin Shi.

Contributor(s): Material type: TextPublication details: Singapore : World Scientific, c2024.Description: 1 online resource (xvi, 428 p.)ISBN:
  • 9789811263903
  • 9811263906
Subject(s): Genre/Form: DDC classification:
  • 005.7 23
LOC classification:
  • QA76.9.B45
Online resources:
Contents:
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.
Summary: "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"-- Publisher's website.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Electronic Books CUTN Central Library 005.7 (Browse shelf(Opens below)) Link to resource Available EB04969

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"-- Publisher's website.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

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