Probability and Statistics for Data Science: Math + R + Data - Brossura

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

Matloff, Norman

 
9781138393295: Probability and Statistics for Data Science: Math + R + Data
Brossura
ISBN 10: 1138393290 ISBN 13: 9781138393295
Casa editrice: Routledge, 2019

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Routledge
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
1138393290
ISBN 13 
9781138393295
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
412
Contatto del produttore
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Germania

Altre edizioni note dello stesso titolo

9780367260934: Probability and Statistics for Data Science: Math + R + Data

Edizione in evidenza

ISBN 10:  036726093X ISBN 13:  9780367260934
Casa editrice: Chapman and Hall/CRC, 2019
Rilegato