Machine Learning in Elite Volleyball

Integrating Performance Analysis, Competition and Training Strategies de

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2021-06-18

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Description
This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.
Pages
53 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2021-06-18
Marque
Springer
EAN papier
9789811631917
EAN PDF
9789811631924

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
1772 Ko
Prix
52,74 €
EAN EPUB
9789811631924

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
2785 Ko
Prix
52,74 €