An Introduction to Statistical Learning with Applications in R 2nd edition by Gareth James, 9781071614174

An Introduction to Statistical Learning provides a concise introduction to the field of statistical learning, which is essential for understanding the vast and complex data sets that have developed over the past 20 years in a number of disciplines, including as astrophysics, biology, economics, and marketing. This book discusses some of the most important modeling and prediction techniques and their relevant applications. Multiple testing, survival analysis, resampling approaches, shrinkage techniques, support vector machines, clustering, and linear regression are among the topics that are covered. Real-world examples and color images are used to demonstrate the approaches. Exercises are included in every chapter of this book to make it easier for practitioners in business, science, and other fields to use these statistical learning strategies.