“Pixel Approximate Entropy” technique quantifies visual complexity by providing a score that automatically identifies difficult charts; could help users in emergency settings to read data at a glance and make better decisions faster.
The Columbia Engineering community has come together to combat the coronavirus pandemic on multiple fronts. In close collabo-ration with the Columbia University Irving Medical Center, we’re leveraging our expertise and innovation to address short term medical needs and long term societal impacts.
Building Agile Machine Learning Models
Monday 4:00 pm
Register here - https://www.eventbrite.com/e/building-agile-machine-learning-models-tickets-152359293749
Richard Zemel, University of Toronto