| Call Number | 12853 |
|---|---|
| Day & Time Location |
TR 1:10pm-2:25pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Daniel Hsu |
| 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 | 49 students (110 max) as of 9:05PM Friday, June 6, 2025 |
| Subject | Computer Science |
| Number | W4771 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Journalism |
| Note | Pre-req listed is incorrect. The suggested pre-reqs should b |
| Section key | 20253COMS4771W001 |