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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with

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An Introduction to Statistical Learning: with Applications in R PDF by Daniela Witten , Gareth James , Robert Tibshirani , Trevor Hastie An-Introduction-to-Statistical-Learning-with-Applications-in-R.pdf …

Statistical learning theory, since its introduction in the late 1960's, has become one of the most important frameworks in machine learning, to study problems of inference or function estimation supervised statistical learning involves building a statistical model for pre￾dicting, or estimating, an output based on one or more inputs. Problems of this nature occur in fields as diverse as business, medicine, astrophysics, and Welcome to the Sciences at Smith College - Clark Science Center Two of the authors co-wrote ! e Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.