| Call Number | 10755 |
|---|---|
| Day & Time Location |
TR 1:00pm-4:10pm 833 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Nakul Verma |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Topics from generative and discriminative machine learning including least squares methods, support vector machines, kernel methods, neural networks, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models and hidden Markov models. Algorithms implemented in MATLAB. |
| Web Site | Vergil |
| Subterm | 07/07-08/15 (B) |
| Department | Computer Science |
| Enrollment | 34 students (120 max) as of 10:06AM Saturday, June 7, 2025 |
| Subject | Computer Science |
| Number | W4771 |
| Section | 001 |
| Division | Interfaculty |
| Note | https://www.cs.columbia.edu/~djhsu/coms4771-f25/#list-of-pre |
| Section key | 20252COMS4771W001 |