Midterm 2 Review Topics and Problems
Friday, April 16 to Tuesday April 27
Section 12: Reinforcement Learning
Monday, April 19
Section 11: HMMs and MDPs
Monday, April 12
Section 10: Inference for Bayes Nets
Monday, April 5
Section 9: Topic Models, Factor Analysis, and PCA
Monday, March 29
Section 8: Mixture Models and Expectation Maximization (EM)
Monday, March 22
Section 7: Clustering
Monday, March 15
Section 6: SVM Dual + Kernels
Monday, March 8
Midterm Review Topics and Problems
Tuesday, March 2 to Thursday March 11
Section 5: Margin-Based Classification, SVMs
Monday, March 1
Section 4: Bayesian Approaches, Neural Networks
Tuesday, February 23
Section 3: Model Selection
Tuesday, February 16
Section 2: Probabilistic Classification
Tuesday, February 9
Section 1: Linear Regression, MLE
Tuesday, February 2
Section 0: Code Review
Friday, January 29
Section 0: Math Review
Tuesday, January 26