Machine Learning 10-702
Instructors: |
Tues Jan 17 | L | Linear regression | Notes, video | |
Thurs Jan 19 | L | Linear classification | Notes, video, cool plot, | |
Tues Jan 24 | R | Nonparametric regression | Notes, video | |
Thurs Jan 26 | R | Nonparametric regression | Notes, video | |
Tues Jan 31 | R | Nonparametric regression | Notes, video | |
Thurs Feb 2 | R | Nonparametric classification | Notes, video | Hw 1 due Fri Feb 3 |
Tues Feb 7 | L | Reproducing kernel Hilbert spaces | Notes, video | |
Thurs Feb 9 | L | Density estimation | Notes, video | |
Tues Feb 14 | L | Clustering | Notes, video | |
Thurs Feb 16 | L | Clustering | Notes, video | Project milestone 1 due Fri Feb 17 |
Tues Feb 21 | L | Clustering | Notes, video | |
Thurs Feb 23 | L | High-dimensional testing | Notes, video | |
Tues Feb 28 | L | Concentration of measure | Notes, video | |
Thurs Mar 2 | L | Concentration of measure | Notes, video | Hw 2 due Fri Mar 3 |
Tues Mar 7 | - | Midterm | ||
Thurs Mar 9 | - | Spring break (no class) | ||
Tues Mar 14 | - | Spring break (no class) | ||
Thurs Mar 16 | - | Spring break (no class) | ||
Tues Mar 21 | L | Minimax theory | Notes, video | |
Thurs Mar 23 | L | Minimax theory | Notes, video | |
Tues Mar 28 | R | Sparsity and the lasso | ||
Thurs Mar 30 | R | Sparsity and the lasso | Hw 3 due Fri Mar 31 | |
Tues Apr 4 | R | Sparsity and the lasso | ||
Thurs Apr 6 | R | Sparsity and the lasso | Project milestone 2 due Fri Apr 7 | |
Tues Apr 11 | L | Graphical models | ||
Thurs Apr 13 | L | Graphical models | ||
Tues Apr 18 | R | Advanced topic | ||
Thurs Apr 20 | - | Spring Carnival (no class) | Hw 4 due Fri Apr 21 | |
Tues Apr 25 | R | Advanced topic | ||
Thurs Apr 27 | R | Advanced topic | ||
Tues May 2 | - | Course conference | ||
Thurs May 4 | - | Course conference | Project writeup due Fri May 5 |