Fields Workshop on Machine Learning in the Presence of Class Imbalance
On behalf of the Fields Centre for Quantitative Analysis and Modelling lab at Carleton University, you are warmly invited to participate in our Workshop on Machine Learning in the Presence of Class Imbalance on Thursday June 20th and Friday June 21st, 2019. See http://cu-cqam.ca for details and registration.
PUBLIC LECTURE: What is missing from common practice in machine learning? Date: Thursday 20 June 2019, 6-7pm with networking to follow. Speaker: Prof. Ali Ghodsi, University of Waterloo Location: Health Science Building, Rm. 1301 (first floor), Carleton University Cost: FREE
FULL-DAY WORKSHOP: Machine Learning in the Presence of Class Imbalance Date: Friday 21 June 2019, 8:30-4:30pm Keynote Speaker: Prof. Benjamin Fung, McGill University Session Speakers: Stephan Jou (Interset), Robin Grosset (Mindbridge.ai), Daniel Shapiro (Lemay AI), Herna Viktor (University of Ottawa), Isuru Gunasekara (IMRSV Data Labs), Isar Nejadgholi (NRC), Dušan Sovilj (RANK Sorfware Inc.), Julio Valdes (NRC), Hamidreza Sadreazami (McGill University), Reddy Nellipudi (DB Schenker) Location: Residence Commons Conference Room, Carleton University Cost: $10+tax (includes lunch)
Full program details are available at http://cu-cqam.ca and in attached poster.
Please feel free to share this invitation. We look forward to seeing you at our event!