Machine Learning for Model-Rich Problems (5 Distinguished Speaker Events)
April 16 @ 11:00 am - 12:00 pm EDT
One event on April 22, 2021 at 11:00 am
One event on April 26, 2021 at 11:00 am
One event on April 30, 2021 at 11:00 am
One event on May 3, 2021 at 11:00 am
Machine learning is a powerful paradigm emerging from computer science and statistics that has found effective applications across a spectrum of disciplines. In this series, Hariri Institute for Computing, Boston University features four leading innovators working at the interface of machine learning and theory-driven modeling from the domains of astrophysics, biophysics, economics, and structural design. Come join them, as they speak both individually and together, about how to incorporate the benefits of data-driven machine learning in disciplines that are already rich in theory-driven models.