The pdf files below include sound. To view them, use the latest version of Acrobat Reader.

• Linear predictors Part 1 (10MB), Part 2 (20MB)
• AdaBoost Part 1 (9MB), Part 2 (15MB)
• SVD (taught by Alon Gonen) (17MB)
• Model selection and validation (28MB)
• Convex Learning Problems (36MB)
• Stochastic Gradient Descent (33MB)
• Regularized Loss Minimization and Stability (28MB)
• Rehersal on RLM (taught by Alon) (21MB)
• Support Vector Machines (28MB)
• Rehearsal on hard SVM and kernels
• Decision trees, NN, and Online learning
• Clustering
• Online + Dimensionality Reduction + Generative Models