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# An Introduction to Statistical Learning: With Applications in R

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 techniqu
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Hardcover, 426 pages

Published
December 14th 2015
by Springer
(first published June 24th 2013)

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## Community Reviews

(showing 1-30 of 1,274)

The book explains concepts of Statistical Learning from the very beginning. The core ideas such as bias-variance tradeoff are deeply discussed and revisited in many problems. The included R examples are particularly helpful for beginners to learn R. The book also provides a brief, but concise description of functions' parameters for many related R packages.

My professor thinks this book is a "superficial" version of The Elements of Statistical Learning, but I disagree. Yes, it may ...more

Based on my experience TA'ing statistical novices, I suspect the linear regression stuff is already too dense and rushed to help them really understand what's going on & why. They'll need a little more time on each aspect, a few more examples, a little deeper sense of why we do these things.

On the ...more

Para tópicos que ficaram mal desenvolvios teoricamente, recomendo "The Elements of Statistical Learning": https://www.goodreads.com/book/show/1... . Este não o li por completo. Apenas o consultei para aprofundar certos tópicos - boosting, bagging, ran ...more

Possibly probability dist ...more

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