An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
by Jonathan Taylor, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
An accessible introduction to statistical learning with applications in Python. Combining statistical foundations with computational practice, this volume is designed for readers building their understanding of data analysis and statistical methods. It is part of the Springer Texts in Statistics series and is authored by a team of established contributors.
About This Book
An introduction to statistical learning for readers seeking a foundation in modern statistical methods.
The book combines statistical concepts with applications in Python, linking theory to computational practice.
Written by Jonathan Taylor, Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani.
Published as part of the Springer Texts in Statistics series.
Reviews
No reviews yet. Be the first to review this book!