Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned

There has been an explosion of data collected about sports. Because such data is extremely rich and complex, machine learning is increasingly being used to extract actionable insights from it. Typically, machine learning is used to build models and indicators that capture the skills, capabilities, a...

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Vydané v:	Machine learning Ročník 113; číslo 9; s. 6977 - 7010
Hlavní autori:	Davis, Jesse, Bransen, Lotte, Devos, Laurens, Jaspers, Arne, Meert, Wannes, Robberechts, Pieter, Van Haaren, Jan, Van Roy, Maaike
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2024 Springer Nature B.V
Predmet:	Artificial Intelligence Athletic recruitment Automation Computer Science Control Data analysis Data science Decision making Indicators Machine Learning Mechatronics Movable bridges Natural Language Processing (NLP) Robotics Simulation and Modeling Special Issue on Machine Learning for Soccer SWOT analysis Indicator evaluation Model evaluation Sports analytics Model verification Challenges with evaluation Reliability
ISSN:	0885-6125, 1573-0565
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