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Course Description

6.036 introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction; formulation of learning problems; representation, over-fitting, generalization; clustering, classification, probabilistic modeling; and methods such as support vector machines, hidden Markov models, and Bayesian networks.

Prerequisites: 6.00 and 18.02 required; 6.006 and 18.06 recommended
Units: 4-0-8

Lecture

The main lecture will take place on Tuesdays 9.30-11, in Room 32-123.

Section Schedule

The sections this semester are: You may only attend your officially assigned section. In occasional, well-justified cases, you may switch sections for the week. To do so, please contact 6.036-sections@mit.edu at least three days in advance.

Sections will all take place in Room 34-501. There is a nano-quiz at the start of each section meeting that can only be taken in class. If you are unable to attend due to illness or other personal difficulties, please see a dean in Student Support Services and ask them to contact Prof. Jacob White (white@mit.edu). Please do NOT email any of the course staff lists directly.

There is a checkoff with a member of staff that is due at the end of the section meeting. The checkoff can be made up (with a late penalty) at any office hours.

Piazza

You are encouraged to join the course Piazza site where you can ask questions and get them answered by the course staff.

Homework

Homework is due on-line Tuesday at 11 pm for students in sections that meet on Wednesday and due Thursday at 11 pm for students in sections that meet on Friday.

Office Hours

Office hours are an opportunity to get help with concepts or with particular assignments. Weekly office hours will be offered at the following times (subject to change): All office hours will be in 32-044 (in the basement of the Stata Center).

Staff

Name Role Office Email (@mit.edu) Picture
Leslie Kaelbling Instructor 32-G486 lpk Leslie
Jehangir Amjad Instructor 32-D560 mamjad Jehangir
Pablo Parrilo Instructor 32-D724 parrilo Pablo
Jacob White Instructor 36-817 white Jacob
Ayesha Bajwa TA -- abajwa Ayesha
Rohan Chitnis TA 32-G418 ronuchit Rohan
Paolo Gentili TA -- pgentili Paolo
Tim Henry UTA -- timhenry Tim
Sam Korsky TA -- korsky Sam
Jen Li TA -- jingyuli Jen
Robert Liang TA -- xbliang Robert
Tiffany Min TA -- symin95 Tiffany
Hajir Roozbehani TA -- hajir Hajir
Wendy Wei TA -- wendywei Wendy
Sarah Wu UTA -- sarahawu Sarah