| Call Number | 11983 |
|---|---|
| Day & Time Location |
TR 2:40pm-3:55pm 451 Computer Science 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 |
| Department | Computer Science |
| Enrollment | 54 students (110 max) as of 12:05PM Saturday, May 31, 2025 |
| Subject | Computer Science |
| Number | W4771 |
| Section | 002 |
| Division | Interfaculty |
| Note | See: https://www.cs.columbia.edu/~verma/classes/ml/faq.html |
| Section key | 20251COMS4771W002 |