Probability and Statistics for Data Science : Math + R + Data EPUB
by Norman Matloff
Part of the Chapman & Hall/CRC Data Science Series series
EPUB
Description
Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously:* Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture."* Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there.
He is on the editorial boards of the Journal of Statistical Software and The R Journal.
His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017.
He is a recipient of his university's Distinguished Teaching Award.
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:444 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:21/06/2019
- Category:
- ISBN:9780429687112
Other Formats
- Paperback / softback from £58.99
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Information
-
Download - Immediately Available
- Format:EPUB
- Pages:444 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:21/06/2019
- Category:
- ISBN:9780429687112
