DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

Today we're 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 decisions both roles make on a regular basis. In this episode, we discuss his paper: “DeepQB: Deep Learning with Player Tracking to Quantify Quarterback Decision-Making & Performance”, what it means for football, and his excitement for machine learning in sports.

Avsnitt(779)

Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212

Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212

Today we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the Royal Statistical Society. David, an invited speaker ...

20 Dec 201823min

Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

Today we’re joined by Kunle Olukotun, Professor in the department of EE and CS at Stanford University, and Chief Technologist at Sambanova Systems. Kunle was an invited speaker at NeurIPS this year, p...

18 Dec 201855min

Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210

Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210

Today we conclude our Trust in AI series with this conversation with Kathryn Hume, VP of Strategy at Integrate AI. We discuss her newly released white paper “Responsible AI in the Consumer Enterprise,...

14 Dec 201853min

Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209

Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209

Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director at Vector In...

12 Dec 201845min

Trust and AI with Parinaz Sobhani - TWiML Talk #208

Trust and AI with Parinaz Sobhani - TWiML Talk #208

In today’s episode we’re joined by Parinaz Sobhani, Director of Machine Learning at Georgian Partners. In our conversation, Parinaz and I discuss some of the main issues falling under the “trust” um...

11 Dec 201846min

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. We discuss his presentation “Unbiased Learning f...

7 Dec 201840min

Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206

Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206

Today we’re joined by Jinho Choi, assistant professor of computer science at Emory University. Jinho presented at the conference on ELIT, their cloud-based NLP platform. In our conversation, we discu...

5 Dec 201847min

re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici - TWiML Talk #205

re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici - TWiML Talk #205

I’m excited to present our second annual re:Invent Roundtable Roundup. This year I’m joined by Dave McCrory, VP of Software Engineering at Wise.io at GE Digital, and Val Bercovici, Founder and CEO of ...

3 Dec 20181h 7min

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