In-depth introduction to machine learning in 15 hours of expert videos

Abstraction: Free 15-hour Stanford ISLR video course covering statistical learning fundamentals

Key points:

• Stanford professors Trevor Hastie and Rob Tibshirani (authors of Elements of Statistical Learning) taught an online course based on their textbook "An Introduction to Statistical Learning with Applications in R" (ISLR)
• ~15 hours of video lectures cover regression, classification, resampling (cross-validation, bootstrap), model selection, regularization (Ridge, Lasso), splines, trees, random forests, boosting, SVMs, and unsupervised learning
• The textbook is available as a free PDF download from the authors' website
• Lab videos demonstrate R code implementations for each technique
• Interviews with statistics luminaries John Chambers, Bradley Efron, and Jerome Friedman are included
• Curated by Kevin Markham of Data School; highly recommended for both beginners and non-R users

Connections: Stanford University · Trevor Hastie · Rob Tibshirani · Statistical Learning · Machine Learning

Source: http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/