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Probability and Statistics for Data Science
- Math + R + Data
Engelsk Paperback
Probability and Statistics for Data Science
- Math + R + Data
Engelsk Paperback

803 kr
Tilføj til kurv
Sikker betaling
6 - 8 hverdage

Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
412
ISBN-13:
9781138393295
Indbinding:
Paperback
Udgave:
ISBN-10:
1138393290
Udg. Dato:
20 jun 2019
Længde:
24mm
Bredde:
163mm
Højde:
229mm
Forlag:
Taylor & Francis Ltd
Oplagsdato:
20 jun 2019
Forfatter(e):
Books from the same author
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