9/3 Th

Calvin

Linear algebra, probability review [handout]

9/10 Th

Calvin

Least squares, Matlab, and MAP estimation [handout]

9/17 Th

Aman

Logistic regression, Perceptron Recitation slides Logistic Regression Notes

9/24 Th

Aman

Linear Regression, Neural Networks Regression Notes Gradient Notes

10/1 Th

Joe

Decision trees, Kmeans [handout]

10/8 Th

Zhenzhen

Mixture Models, PCA [Slides]

10/15 Th

Zhenzhen

SSL, Conditional Independence [Handout]

10/22 Th

Joe

Bayes Nets, D separation, Variable Elimination Handout

10/29 Th

Udbhav

11/5 Th

Calvin

HMMs, Model Selection, and Cross-validation Handout

11/12 Th

Calvin

SVMs and Optimization Handout

11/17 *Tuesday*

Joe

Midterm practice problems Handout

12/3 T

Aman

12/10 T

Aman