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

Libro 1 de 36: Chapman & Hall/CRC Data Science

Matloff, Norman

 
9781138393295: Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series)
Tapa blanda
ISBN 10: 1138393290 ISBN 13: 9781138393295
Editorial: Routledge, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Routledge
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1138393290
ISBN 13 
9781138393295
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
412
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania