An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics Book 103)
by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
An Introduction to Statistical Learning offers a foundation in statistical learning with applications in R. Written by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, this Springer Texts in Statistics volume supports readers developing practical and conceptual knowledge in statistics and data analysis.
About This Book
An introduction to statistical learning from Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani.
The book presents foundational concepts in statistical learning for readers seeking a clear entry point into the subject.
Applications in R connect the discussion with practical computing and data analysis.
Published as part of the Springer Texts in Statistics series, it is suited to study and reference in statistics and related fields.
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