Date |
Time |
Place |
Topic |
Handouts |
Sept 9 |
5-6 pm |
NSH 3305 |
Probability Review |
Slides |
Sept 16 |
5-6 pm |
NSH 1507 |
Linear Algebra and MATLAB Review |
Slides |
Sept 23 |
5-6 pm |
NSH 1507 |
MLE vs. MAP, Multinomial Distributions, Decision Boundaries, Naive Bayes vs. Logistic Regression |
Notes |
Sept 30 |
5-6 pm |
NSH 1507 |
Least Squares, Ridge Regression, Histogram, Non-convexity of L0 penalty, and KDE simulation |
Notes,  KNN asymptotics |
Oct 7th |
5-6 pm |
NSH 1507 |
Decision Tree with multiple levels, Decision Tree with continuous input values, Quad decision Tree, Model selection, AIC and BIC |
Slides |
Oct 14th |
5-6 pm |
NSH 3305 |
SVM, Midterm review |
Slides |
Oct 21st |
|
|
No recitation |
|
Nov 4th |
5-6 pm |
GHC 6115 |
Learning Theory |
Slides |
Nov 11th |
5-6 pm |
NSH 1507 |
Bayesian Net (D-Seperation) & BN Inference |
Slides |
Nov 18th |
5-6 pm |
NSH 3305 |
Bayesian Networks: Variable Elimination, Learning CPDs and Graph Structure |
Notes |
Dec 3rd |
5-6 pm |
HH B103 |
PCA and Spectral Clustering |
Notes |
|