MIT: Independent Activities Period: IAP

IAP 2017

A Whirlwind Tour of ML

Manasi Vartak, PhD Student at CSAIL, Maggie Makar, Grad Student CSAIL

Enrollment: Unlimited: Advance sign-up required
Sign-up by 01/10
Attendance: Participants must attend all sessions
Prereq: Basic ML, Python, basic calculus

Machine learning (ML) is clearly the coolest kid on the block right now, and everyone wants to be friends with ML! However, ML as a field has so many areas and sub-areas, and so much jargon that it is hard for a beginner (or even a grad student in ML) to place all of the problems and techniques in context.

This 4-part class will provide brief overviews of diverse ML areas and discussions comparing and contrasting techniques. Each session will consist of MIT grad students giving 1/2 hr talks on particular topics and a discussion putting those topics in context.

Tentative topics per session are:

- Overview of supervised and unsupervised learning

- Inference

- Bayesian Methods

- Neural Nets


Class is geared towards advanced undergraduate and graduate students. It assumes a basic familiarity with ML.

Please sign up here by 1/10:


Sponsor(s): Electrical Engineering and Computer Science, Student Information Processing Board
Contact: Manasi Vartak, 32-G904B, MVARTAK@MIT.EDU

Session 1

Jan/24 Tue 03:00PM-05:00PM 36-156
Jan/25 Wed 03:00PM-05:00PM 36-156
Jan/26 Thu 03:00PM-05:00PM 36-156
Jan/27 Fri 03:00PM-05:00PM 36-156

Manasi Vartak - PhD Student at CSAIL, Maggie Makar - Grad Student CSAIL