Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series) - Hardcover

Matloff, Norman

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9780367260934: Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series)
Hardcover
ISBN 10: 036726093X ISBN 13: 9780367260934
Publisher: Chapman and Hall/CRC, 2019

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

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.

"About this title" may belong to another edition of this title.

Publisher
Chapman and Hall/CRC
Publication date
2019
Language
English
ISBN 10 
036726093X
ISBN 13 
9780367260934
Binding
Hardcover
Edition number
1
Number of pages
412
Rating
  • 4.33 out of 5 stars
    15 ratings by Goodreads

Other Popular Editions of the Same Title

9781138393295: Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series)

Featured Edition

ISBN 10:  1138393290 ISBN 13:  9781138393295
Publisher: Chapman and Hall/CRC, 2019
Softcover