Speaker: Jacob Steinhardt, University of California Berkeley

This seminar series is the first formal gathering of academic and industrial data scientists across the Greater Toronto Area (GTA) to discuss advanced topics in machine learning and its goal is to build a stronger machine learning community in Toronto. The talks will be given by  international and local faculty and industry professionals.

The seminar series is intended for university faculty and graduate students in machine learning across computer science, ECE, statistics, mathematics, linguistics, and medicine, as well as PhD-level data scientists doing interesting applied research in the GTA.

A large emphasis will be placed on the social aspects of the gathering. The Toronto machine learning community will be stronger when we know each other and know what problems people are working on.

All Machine Learning Advances and Applications Seminar Talks for the 2022-2023 year will be held in a hybrid format. Attendees are welcome at Fields even when the speaker is presenting remotely.