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Sections

Times and Locations

  • Monday 1:30-2:30 pm, Location: Northwest B166
  • Monday 3:00-4:00 pm, Location: Pierce 100F
  • Tuesday 10:30-11:30 am, Location: Maxwell Dworkin 221
  • Tuesday 3:00-4:00 pm, Location: Cruft 309
  • Wednesday 4:30-5:30 pm, Location: Maxwell Dworkin 221

Section 10 : Markov Decision Processes and Reinforcement Learning

Mon Apr 20

Section 9 : Variable Elimination, HMMs, and Kalman Filters

Mon Apr 13

Section 8 : Bayesian Networks

Mon Apr 6

Section 7 : Mixture Models, EM, PCA

Mon Mar 30

Section 6 : Clustering

Mon Mar 23

Section 5 : Margin-Based Classification, SVMs

Thu Mar 19

Midterm 1 Review

Mon Mar 2

Section 4 : Bayesian Approaches, Neural Networks

Mon Feb 24

Section 3 : Model Selection

Mon Feb 17

Section 2 : Probabilistic Regression, Classification

Mon Feb 10

Section 1 : Linear Regression, MLE

Mon Feb 3

Section 0 : Math and Code Review

Wed Jan 29