Probability and Statistics for Data Science: Math + R + Data - Couverture rigide

Livre 1 sur 36: Chapman & Hall/CRC Data Science

Matloff, Norman

 
9780367260934: Probability and Statistics for Data Science: Math + R + Data
Couverture rigide
ISBN 10 : 036726093X ISBN 13 : 9780367260934
Editeur : Chapman & 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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman & Hall/CRC
Date d'édition
2019
Langue
anglais
ISBN 10 
036726093X
ISBN 13 
9780367260934
Reliure
Relié
Nombre de pages
412
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Allemagne

Autres éditions populaires du même titre

9781138393295: Probability and Statistics for Data Science

Edition présentée

ISBN 10 :  1138393290 ISBN 13 :  9781138393295
Editeur : Routledge, 2019
Couverture souple