Prereq: 6.01 or permission of instructors
Schedule: L MW10, room 32-155, Recitations: TR11, 12, 1 and 2pm.
Instructors: Profs. Polina Golland (firstname.lastname@example.org), Costis Daskalakis (email@example.com)
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.
EECS students in 6-2 program can use 6.s080 as one of their EE or CS foundation subjects. All EECS students can use 6.s080 as one of their math elective or free elective subjects