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SFU Data Fellowships: Towards Responsible Machine Learning

Type
Professional Workshops
Institution
SFU
Professor / Instructor
Fred Popowich, Stephen Makonin, Jillian Anderson, Paige Tuttosi, Sina Nazeri
Dates
June 21-25, 9am-2:30pm each day

This part-time five-day course offers foundational Artificial Intelligence, Machine Learning (ML) and Data science concepts that are applicable in the humanities and social sciences. Together with SFU's Digital Democracies Institute, this course will have you examine best practices to critically evaluate and mitigate unwanted bias from sources such as data, algorithms or users. Through collaborative hands-on labs guided by SFU experts, you will come away with the kind of data science experience and knowledge that organizations and recruiters value.

You are applying for a $500 scholarship towards a qualifying course at one of our post-secondary education partners: BCIT, Northeastern University, SFU or UBC. Applicants must be either Canadian Citizens, BC permanent residents or working towards obtaining one of these.

Please only apply for this scholarship once you have been enrolled or waitlisted in an applicable course. We will be confirming all student details with instructors.

Apply for Scholarship

To be eligible for this scholarship, you must be a woman (or identify as a woman), and currently live in BC, Canada. Do you meet both of these criteria?