Machine Learning Applications In Sports Professors in Global

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Brian Soebbing
University of Alberta Canada
sports betting
sport management
sport economics
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Scott Waltemyer
Texas A&M University United States of America
sports management
sport marketing
diversity in sports
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Gian Campagnolo
University of Edinburgh United Kingdom
data analytics in sports
sports analytics
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Martin Lames
Technical University of Munich Germany
sports informatics
game sports
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Lasse Jakobsen
Aalborg University Denmark
sports technology
sports science
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Marion Mundt
University of Western Australia Australia
sports technology
machine learning
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Aristide Akem
University of Southampton United Kingdom
applied machine learning
machine learning
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Michael Gelbart
University of British Columbia Canada
applied machine learning
machine learning
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Farhad Maleki
University of Calgary Canada
applied machine learning
machine learning
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Jinfeng Liu
University of Alberta Canada
applied machine learning
machine learning
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Michael Mazzoleni
Duke University Singapore
sports engineering
machine learning
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John Mcphee
University of Waterloo Canada
sports engineering
machine learning
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Nikhil Malik
University of Southern California Marshall School of Business United States of America
applied game theory
machine learning
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Amar El-sallam
University of Western Australia Australia
sports science
machine learning
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Søren Hoyer
University of Southern Denmark Denmark
coaching in sports
sports psychology
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Jesse Davis
KU Leuven Belgium
sports analytics
machine learning
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Joel Sokol
Georgia Institute of Technology United States of America
sports analytics
machine learning
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Minh Huynh
Monash University Australia
sports analytics
machine learning
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Ron Yurko
Carnegie Mellon University United States of America
sports analytics
machine learning
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John Wilson
Western University Canada
sports analytics
machine learning
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Tianyu Guan
York University Canada
sports analytics
machine learning
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