Undergraduate
Prereq: 6.01 or permission of instructors
Schedule: L MW10, room 56-154, Recitation TR1, room 34-303; TR3, room 34-303
Staff: Professors Gregory Wornell * (gww@mit.edu), Costis Daskalakis, Polina Golland and Lizhong Zheng
- * subject contact
- Enrollment Limited
Description
Introduction to probabilistic modeling for problems of inference from data, emphasizing analytical and computational aspects. Distributions, marginalization, conditioning, and structure; graphical representations. Belief propagation, decision-making, classification, estimation, and prediction. Sampling methods and analysis. Introduction to asymptotic analysis and information measures, and applications.
(6-2) foundation subject credit in either EE or CS
