An introduction to statistical learning :
An introduction to statistical learning : with applications in R /
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
- xvi, 426 pages : illustrations (some color) ; 24 cm.
Includes index.
Statical learning - Resamplig methods - Liner model selection and regularization -Moving beyond linearity - Tree-based methods - Support vector machines - Unsupervised learning
9781461471370 (acidfree paper)
Mathematical statistics.
Mathematical models.
Mathematical statistics
Mathematical models
R (Computer program language)
Statistics.
519.5 / I619
Includes index.
Statical learning - Resamplig methods - Liner model selection and regularization -Moving beyond linearity - Tree-based methods - Support vector machines - Unsupervised learning
9781461471370 (acidfree paper)
Mathematical statistics.
Mathematical models.
Mathematical statistics
Mathematical models
R (Computer program language)
Statistics.
519.5 / I619