Computational statistics in data science
Author(s)
Bibliographic Information
Computational statistics in data science
Wiley, 2022
- : hbk
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Note
Other authors: Richard A. Levine, Hao Helen Zhang, Thomas C.M. Lee
Includes bibliographical references and index
Description and Table of Contents
Description
An essential roadmap to the application of computational statistics in contemporary data science
In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques.
Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find:
A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areas
Comprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learning
Perfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.
by "Nielsen BookData"
