Introduction to data science / authored by Gaoyan Ou, Beijing Institute of Big Data Research, China, Zhanxing Zhu, Peking University, China, Bin Dong, Peking University, China, Weinan E., Beijing Institute of Big Data Research, China ; translated by Binyang Li, Shumin Shi.
Includes bibliographical references (pages 411-428).
Contents:
Introduction -- 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.
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"-- Back cover.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.