Supervised Learning 12
- ML M11: Bayesian Inference
- ML M10: Bayesian Learning
- ML M9: VC Dimension
- ML M8: Computational Learning Theory
- ML M7: Kernel Methods and SVMs
- ML M6: Ensemble Learning
- ML M5: Instance-Based Learning
- ML M4: Neural Networks
- ML M3: Regression
- ML M2: Decision Trees
- ML M1: Introduction
- DL M1: Linear Classifiers and Gradient Descent