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 The Supervised Learning Problem
1:00 Objectives
1:18 Philosophy
4:02 Unsupervised learning
6:24 The Netflix prize
9:28 Statistical Learning versus Machine Learning
10:41 Course Texts
