Learning from Data lectures by Professor Yaser Abu-Mostafa.

Just the main topics, these are composed of sub-topics on the lecture page (above):

- Bayesian Learning
- Bias-Variance Tradeoff
- Bin Model
- Data Snooping
- Ensemble Learning
- Error Measures
- Gradient Descent
- Learning Curves
- Learning Diagram
- Learning Paradigms
- Linear Classification
- Linear Regression
- Logistic Regression
- Netflix Competition
- Neural Networks
- Nonlinear Transformation
- Occam’s Razor
- Overfitting
- Radial Basis Functions
- Regularization
- Sampling Bias
- Support Vector Machines
- Validation
- VC Dimension

The textbook by the same title: Learning from Data.

The lectures look like a good place to get lost. For days!

[…] I prefer the longer lecture style over shorter snippets, such as were used for Learning from Data (an earlier […]