Introduction to modern machine learning concepts, techniques, and algorithms. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. Programming assignments emphasize taking theory into practice, through applications on real-world data sets.
FALL 2023 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Drori |
CAS 224 |
TR 5:00 pm-6:15 pm |
|
FALL 2023 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Drori |
CDS 264 |
W 8:00 am-8:50 am |
|
FALL 2023 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A3 |
Drori |
CAS 204B |
W 9:05 am-9:55 am |
|
FALL 2023 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A4 |
Drori |
CDS 264 |
W 10:10 am-11:00 am |
|
FALL 2023 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A5 |
Drori |
CDS 264 |
W 11:15 am-12:05 pm |
|
FALL 2023 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A6 |
Drori |
CAS 235 |
W 1:25 pm-2:15 pm |
|
SPRG 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Drori |
KCB 101 |
MW 12:20 pm-1:35 pm |
|
SPRG 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A4 |
Yu |
CDS 364 |
F 10:10 am-11:00 am |
|
SPRG 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A5 |
Yu |
CDS 364 |
F 11:15 am-12:05 pm |
|
SPRG 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A6 |
Gao |
CDS 364 |
F 12:20 pm-1:10 pm |
|
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.
