6.008 Introduction to Inference
Fall 2014
Instructors: Polina Golland, Gregory W Wornell
TAs: Ganesh Ajjanagadde, Woo Hyeok Kang, Julian Straub, Atulya Yellepeddi
Lecture:
MW10-11
(32-155)
Recitation: TR11-12 (34-304) or TR1-2 (36-155) or TR2-3 (36-155)
TA Office Hours: M6-7 (Ganesh), T5-6 (David), R6-8(Julian), T6-8 (Atulya)
(34-302)
Instructor Office Hours: By Appointment
Course Description:
Introduction to probabilistic modeling for problems of inference and machine learning 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.
ACCESS TO THE WEBSITE is limited to the students enrolled in the course as LISTENERS or FOR CREDIT. Please talk to us in class about registering and getting access to the web site. You can download the General Info and FAQ handouts by clicking on the appropriate menu tab on the left, even if you are not enrolled in the course.
Announcements
Final exam and solutions posted
Dear class,We posted the final exam and solutions. Enjoy!
Thank you again for a great semester and have a fantastic break. You've earned it.
6.008 Team
Announced on 17 December 2014 6:12 p.m. by Polina Golland
