The Introduction to Machine Learning Summer School is a two week program jointly organized by Toyota Technological Institute at Chicago (TTI Chicago) and the Committee on Computational and Applied Mathematics (CCAM) at Univeristy of Chicago as part of an NSF funded Research Training Group (RTG) grant.
This intensive two week summer school will follow the format of a short course on beginner level introduction to machine learning (see tentative schedule for specific topics). The program is aimed at advanced undergraduate and master students in computer science, mathematics, statistics, and related fields, as well as graduate students from other disciplines who would like to better understand and use machine learning.
As a result of participating in this program, a student is expected to
The participants are not expected to have prior exposure to machine learning. However, the program will be most beneficial for participants with some programming experience, and familiarity with basic concepts in probability and statistics, calculus, and linear algebra. Some examples of such concepts include:
If you are interested in participating, please apply through the link below. Participation costs for admitted applicants will be fully covered by the NSF RTG grant and no tuition will be charged. Participants are expected to cover their own transportation and housing costs.
We will start considering applications on May 7th, 2018, and will continue to admitting participants until we reach capacity.Apply