CSCI-GA.3033-006

Special Topics in Machine Learning: Probabilistic Graphical Models

David Sontag

Computer Science


Course website

Prerequisites

This is a graduate-level course. Students should previously have taken one of the following classes: In addition, students should have a solid understanding of basic concepts from probability (e.g., Bayes' rule, multivariate distributions, conditional independence) and algorithms (e.g., dynamic programming, graphs, shortest paths, complexity).

These prerequisites may be waived in some cases (please e-mail instructor).

(Draft) Syllabus