| Call Number | 10978 |
|---|---|
| Day & Time Location |
TR 1:00pm-4:10pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Nakul Verma |
| Type | LECTURE |
| 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 | 07/03-08/11 (B) |
| Department | Computer Science |
| Enrollment | 28 students (120 max) as of 6:05PM Friday, April 26, 2024 |
| Subject | Computer Science |
| Number | W4771 |
| Section | 002 |
| Division | Interfaculty |
| Campus | Morningside |
| Section key | 20232COMS4771W002 |