STATISTICS COLLOQUIUM
David Bergman
Associate Professor of Operations and Information Management
University of Connecticut, School of Business
On Integration of Analytics Techniques for Algorithmic Sports Betting
Abstract
The integration of machine learning and optimization opens the door to new modeling paradigms that have already proven successful across a broad range of industries. Sports betting is a particularly exciting application area, where recent advances in both analytics and optimization can provide a lucrative edge. In this talk we will discuss three algorithmic sports betting games where the combined use of machine learning and optimization have netted me significant winnings.
Bio: David Bergman is an Associate Professor of Operations and Information Management at the University of Connecticut. David’s work focuses on developing novel algorithms for large-scale automated decision making, both in research and in practice. His research is published in the top journals and his work in consulting has driven impact for organizations across a wide spectrum of industries. He is also a leader in sports analytics, and is the 2020 Draft Kings Fantasy Football World Champion.
Wednesday, December 1, 2021
4:00 p.m. EST, 1-hour duration
Join by meeting number |
Meeting number (access code): 2620 932 7315 |
Meeting password: wgFbbBNS656 |
For more information, contact: Tracy Burke at tracy.burke@uconn.edu