https://www.statlearning.com 0 Skip to Content An Introduction to Statistical Learning Home Resources Online Course ISL with R, 1st Edition ISL with R, 2nd Edition ISL with Python Errata ISL with R, 1st Edition ISL with R, 2nd Edition ISL with Python Reviews Forum Open Menu Close Menu An Introduction to Statistical Learning Home Resources Online Course ISL with R, 1st Edition ISL with R, 2nd Edition ISL with Python Errata ISL with R, 1st Edition ISL with R, 2nd Edition ISL with Python Reviews Forum Open Menu Close Menu Home Folder: Resources Back Online Course ISL with R, 1st Edition ISL with R, 2nd Edition ISL with Python Folder: Errata Back ISL with R, 1st Edition ISL with R, 2nd Edition ISL with Python Reviews Forum An Introduction to Statistical Learning Download ISL with R Download ISL with Python [ISLP_cover] [Screen] As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data analysis. The first edition of this book, with applications in R (ISLR), was released in 2013. A 2nd Edition of ISLR was published in 2021. It has been translated into Chinese, Italian, Japanese, Korean, Mongolian, Russian, and Vietnamese. The Python edition (ISLP) was published in 2023. Each edition contains a lab at the end of each chapter, which demonstrates the chapter's concepts in either R or Python. The chapters cover the following topics: * What is statistical learning? * Regression * Classification * Resampling methods * Linear model selection and regularization * Moving beyond linearity * Tree-based methods * Support vector machines * Deep learning * Survival analysis * Unsupervised learning * Multiple testing Authors [Gareth-Jam] Gareth James John H. Harland Dean Goizueta Business School Emory University Daniela WittenDorothy Gilford Endowed Chair Professor of Statistics Professor of BiostatisticsUniversity of Washington Daniela Witten Dorothy Gilford Endowed Chair Professor of Statistics Professor of Biostatistics University of Washington Trevor HastieThe John A. Overdeck Professor Professor of Statistics Professor of Biomedical Data ScienceStanford University Trevor Hastie The John A. Overdeck Professor Professor of Statistics Professor of Biomedical Data Science Stanford University Rob TibshiraniProfessor of Biomedical Data Science Professor of StatisticsStanford University Rob Tibshirani Professor of Biomedical Data Science Professor of Statistics Stanford University A new team member for the Python edition: [taylor] Jonathan Taylor Professor of Statistics Stanford University Get the book Purchase ISL with Python here: [springer-l] [amazon] Purchase the 2nd Edition of ISL with R here: springer-logo-transparent.png amazon.png Download the PDFs here: 1st Edition of ISL with R 2nd Edition of ISL with R ISL with Python hello@statlearning.com (c) 2021-2023 An Introduction to Statistical Learning. All Rights Reserved.