An Introduction to Statistical Learning: with Applications 2nd ed. 2021 Edition
An Introduction to Statistical Learning: with Applications 2nd ed. 2021 Edition
Springer
New
978-1071614174
by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Hardcover
An Introduction to Statistical Learning offers a clear overview of the area of statistical learning, which is crucial for making sense of the enormous and complicated data sets that have evolved in a variety of fields over the past 20 years, including biology, economics, marketing, and astrophysics. Some of the most significant modelling and prediction strategies are covered in this book, along with pertinent applications. There are several topics covered, including as multiple testing, survival analysis, resampling techniques, shrinkage techniques, support vector machines, clustering, and linear regression
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