Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing
Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie
Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani
Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor
You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (https://www.edx.org/course/statistica) or in Python (https://www.edx.org/learn/data-analysis-statistics/stanford-university-statistical-learning-with-python)
For more information about courses on Statistics, you can browse our Stanford Online Catalog: https://stanford.io/3QHRi72
0:00 Introduction
0:55 K-fold Cross-validation in detail
2:31 The details
4:07 A nice special case!
6:59 Auto data revisited
8:16 True and estimated test MSE for the simulated data
10:52 Cross-Validation for Classification Problems
