Machine Learning: Foundations
Available Data Sets:
- Iris: Data Information.
- australian: Data Information
- heart: Data Information
- diabetes: Data Information
More datasets: UCI Machine Learning database repository
Homeworks:
FINAL PROJECT
Scribe notes:
- Introduction.
- Bayesian Inference.
- Nearest Neighbors
- PAC model and Occam Razor
- Boosting and Experts (the paper)
- Decision Trees - Splitting Criteria
- VC dimension (definition and impossibility result)
- VC dimension (sample bound)
- Model Selection
- Information Theory
- Decision tree pruning