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Produktbild: Artificial Intelligence and Machine Learning in Sports Science
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Artificial Intelligence and Machine Learning in Sports Science

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.07.2025

Abbildungen

XIV, 81 illus., 72 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Daniel Memmert

Verlag

Springer Berlin

Seitenzahl

327

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

522 g

Originaltitel

Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft

Sprache

Englisch

ISBN

978-3-662-70154-6

Beschreibung

Portrait

Prof Dr Daniel Memmert is the Executive Head and Professor at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne. He is the editor and author of numerous textbooks specializing in exercise training, sport psychology and computer science. His institute organizes two certificate courses (Match Analysis Team Cologne and Sport Director in Junior and Amateur Football) and the first international further education Master's course in "Match Analysis".

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.07.2025

Abbildungen

XIV, 81 illus., 72 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Daniel Memmert

Verlag

Springer Berlin

Seitenzahl

327

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

522 g

Originaltitel

Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft

Sprache

Englisch

ISBN

978-3-662-70154-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Artificial Intelligence and Machine Learning in Sports Science

  • I Basics.- AI and ML: Definitions and basics.- Supervised and Unsupervised Learning.- Model evaluation in machine learning applications.- Predictive Bayesian Modeling in Sport Science.- Computer Vision and Deep Learning for Sports Analytics.- Human and artificial intelligence integration for decision-making in sports performance.- Match predictions in soccer: Machine learning vs. Poisson approaches.- II Metrics in team sports.- Machine Learning in Soccer.- Machine Learning in Basketball.- Machine Learning in Handball.- Risk, Reward, and Reinforcement Learning in Ice Hockey Analytics.- III Metrics in individual sports.- Machine Learning for Contemporary Dance.- Automatic annotation of movements in dance.- Profiling of High-Performance Skateboarders from Anthro-fitness Variables: A Random Forest-Based-Machine Learning Analysis.- IV Applications in sports science.- Defining player dominant region in soccer: background, data-driven models advances, and scientific challenges.- Applications of Computer Vision in Sports Sciences.- Machine learning-based analysis of multi-agent trajectories in basketball.- Artificial intelligence to promote physical activity.- Machine Learning for Injury Prediction.- Event Data Based Action Valuation: Possibilities and Limitations.- V Outlook.- Responsible use of Machine Learning in Sports Science.- Opportunities and challenges of artificial intelligence in sports science.