CMS Special Seminar with Richard Anderson
Chen 100
Inside Baseball: ML in a Baseball Front Office
Modern professional baseball is a rich domain for applied machine learning. Front offices attempt to optimize the construction and deployment of their teams by using high-frequency spatiotemporal data, video, and event data. This talk surveys how ML is used in 3 primary domains: (1) on-field strategy, (2) player performance forecasting, and (3), biomechanics and movement science. I will outline the current state of the art in these domains and discuss open problems that motivate the development of new methods.
For more information, please contact Narin Seraydarian by phone at (626) 517-6580 or by email at [email protected].