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1. An Introduction to Statistical Learning: with Applications in R

   23 Oct 2018 | Teaching Materials | Contributor(s):

   By Gareth James¹, Daniela Witten², Trevor Hastie³, Robert Tibshirani³

   1. University of Southern California 2. University of Washington 3. Stanford University

   This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

   https://qubeshub.org/publications/847/?v=1

2. Interesting application of machine learning to understand high MOOC dropout rates

   10 Jul 2015 | Posted by Jeremy M Wojdak

   The Data Until I Die! blog had an interesting post a few weeks ago about the KDD Cup competition to understand a very large dataset regarding MOOC course completion...

   https://qubeshub.org/news/blog/2015/07/interesting-application-of-machine-learning-to-understand-high-mooc-dropout-rates

3. An Introduction to Statistical Learning: with Applications in R

   out of 5 stars 

   10 Jul 2015 | | Contributor(s):: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

   This resource has been updated - find the current version here:https://qubeshub.org/qubesresources/publications/847From the book website:This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students,...

4. RESOURCES: Amazing course in statistical learning available freely on interwebs!

   09 Jul 2015 | Posted by Jeremy M Wojdak

   The authors of "An Introduction to Statistical Learning: with Applications in R", (Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani) have graciously made available a...

   https://qubeshub.org/news/blog/2015/07/amazing-course-in-statistical-learning-available-freely-on-interwebs