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Update link to An Introduction to Statistical Learning (#1005)

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Jakob Krigovsky 2022-04-13 16:20:00 +02:00 committed by GitHub
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extra/model/model-building.Rmd
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@ -487,7 +487,7 @@ Modelling really deserves a book on its own, so I'd highly recommend that you re
This book provides a gentle introduction to modelling, where you build your intuition, mathematical tools, and R skills in parallel.
The book replaces a traditional "introduction to statistics" course, providing a curriculum that is up-to-date and relevant to data science.
- *An Introduction to Statistical Learning* by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, <http://www-bcf.usc.edu/~gareth/ISL/> (available online for free).
- *An Introduction to Statistical Learning* by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, <https://www.statlearning.com> (available online for free).
This book presents a family of modern modelling techniques collectively known as statistical learning.
For an even deeper understanding of the math behind the models, read the classic *Elements of Statistical Learning* by Trevor Hastie, Robert Tibshirani, and Jerome Friedman, <https://web.stanford.edu/~hastie/Papers/ESLII.pdf> (also available online for free).