Introduction to Statistical Learning

p p Gareth James , Daniela Witten , Trevor Hastie and Robert Tibshirani This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences. The book also contains a number of R labs with detailed explanations on how to implement the various methods in real life settings, and should be a valuable resource for a practicing data scientist. Winner of the 2014 Eric

7 mentions: @daniela_witten@ghayes_datasci@curtosys@UBCMDS@Centare@sinafala
Date: 2019/09/13 03:48

Referring Tweets

@daniela_witten Our book, Introduction to Statistical Learning https://t.co/LKeWMrwXMM, is now out in Japanese!!! @HastieTrevor @robtibshirani https://t.co/HlykcSdKkD
@ghayes_datasci One of the best books on the theory behind #MachineLearning algorithms continues to be "An Introduction to Statistical Learning", and you can (legally) download it for free here: https://t.co/QmmqzQB6lC. The only downside (for me) is that the examples are in #R not #Python.

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