| Call Number | 14597 |
|---|---|
| Day & Time Location |
MW 6:10pm-7:25pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Parijat Dube |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course covers various topics in advanced machine learning. Topics may include optimization algorithms, Python libraries for ML, principles for applied supervised and unsupervised learning, hyperparameter selection, computational trade-offs, modern neural network architectures such as ConvNets, LSTMs, and transformers for computer vision and natural language processing, and deep learning for LLMs. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 8 students (15 max) as of 10:06AM Tuesday, April 21, 2026 |
| Subject | Statistics |
| Number | GU4242 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies |
| Section key | 20263STAT4242W001 |