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Description:
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Today we are joined by Brian Burke, Analytics Specialist with the Stats & Information Group at ESPN. A former Navy pilot and lifelong football fan, Brian saw the correlation between fighter pilots and quarterbacks in the quick, pressure-filled decisions both roles have to make on a regular basis. In this episode, we discuss: - Brian’s self-taught modeling techniques and his journey finding and handling vast amounts of sports data
- His findings in the paper, “DeepQB: Deep Learning with Player Tracking to Quantify Quarterback Decision-Making & Performance”
- Brian talks through the making of his model, with geometry, algebra and a self-proclaimed ‘vanilla’ neural network
- His excitement for the future of machine learning in sports and more!
The complete show notes for this episode can be found at twimlai.com/talk/297. |