In alignment with our goal to accelerate the impact of data sciences across disciplines, we are partnering with the Centre for Analytics & Artificial Intelligence Engineering (CARTE) to offer a summer DSI-CARTE Machine Learning (ML) Bootcamp for Faculty across the University of Toronto (U of T) and external funding partners. Current funding partners include The Hospital for Sick Children, Lunenfeld-Tanenbaum Research Institute, the University Health Network, and Baycrest.
There is no registration fee for DSI members.* We invite faculty members and scientists from all disciplines to participate.
The Bootcamp is planned to be an in-person, week-long training event on the U of T St. George campus. It will take place from June 13 to 17, 2022. Each day will run from 9 am to 4 pm with light lunch and refreshments included. The Bootcamp will be subject to the university and public health guidelines at the time of the event. We encourage you to register as soon as possible, as the Bootcamp capacity is limited to 50 people. Participants will be registered on a first-come-first-serve basis.
Format and topics: The training encompasses a combination of lectures and hands-on programming tutorials in Python. The format is discipline agnostic. For a sense of the topics and to understand a typical day, please see below for the 2019 Bootcamp. The topics will be updated for 2022.
While the Bootcamp will not focus on mathematical and theoretical aspects of ML, some familiarity with basic calculus, probability and statistics, and some programming experience (in any language) is expected for researchers to fully benefit from the Bootcamp lectures and programming tutorials.
For those wishing to refresh their knowledge of relevant mathematical concepts, please see Derivatives, The Chain Rule of differentiation, Derivatives of multivariable functions, Basics of linear algebra, and Basics of probability.
*There may be an opportunity to accept non-DSI faculty members (i.e., faculty appointed at other institutions/non-external funding partners) into the Bootcamp subject to a registration fee. Please email email@example.com for more information.