An introduction to statistical learning : [electronic resource] with applications in R /
An introduction to statistical learning : with applications in R / [electronic resource]
Statistical learning
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Eighth edition
- New York : Springer : 2017
- 1 online resource ( xiv, 426 pages) : illustrations
- Springer texts in statistics .
- Springer texts in statistics. .
Includes index
Introduction -- Statistical learning -- Linear regression -- Classification -- Resampling methods -- Linear model selection and regularization -- Moving beyond linearity -- Tree-based methods -- Support vector machines -- Unsupervised learning
9781461471387 (E-book)
MATHEMATICAL STATISTICS
MATHEMATICAL MODELS
MATHEMATICAL STATISTICS--PROBLEMS, EXERCISES, ETC
MATHEMATICAL MODELS--PROBLEMS, EXERCISES,ETC
RTL (COMPUTER PROGRAM LANGUAGE)
STATISTICS
MODELS, STATISTICAL
STATISTICS AS TOPIC
QA 276 / I57 2017
Includes index
Introduction -- Statistical learning -- Linear regression -- Classification -- Resampling methods -- Linear model selection and regularization -- Moving beyond linearity -- Tree-based methods -- Support vector machines -- Unsupervised learning
9781461471387 (E-book)
MATHEMATICAL STATISTICS
MATHEMATICAL MODELS
MATHEMATICAL STATISTICS--PROBLEMS, EXERCISES, ETC
MATHEMATICAL MODELS--PROBLEMS, EXERCISES,ETC
RTL (COMPUTER PROGRAM LANGUAGE)
STATISTICS
MODELS, STATISTICAL
STATISTICS AS TOPIC
QA 276 / I57 2017