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.
| ISBN: | 9789811631917 |
| Publication date: | 19th June 2021 |
| Author: | Rabiu Muazu Musa, Anwar P P Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman |
| Publisher: | Springer Verlag, Singapore |
| Format: | Paperback |
| Pagination: | 53 pages |
| Series: | SpringerBriefs in Applied Sciences and Technology |
| Genres: |
Machine learning Sports Artificial intelligence |
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.
Machine Learning in Elite Volleyball features in the following genres: Machine learning, Sports, Artificial intelligence
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Machine Learning in Elite Volleyball was written by Rabiu Muazu Musa, Anwar P P Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman and published by Springer Verlag, Singapore
Machine Learning in Elite Volleyball has 53 pages
Yes it is part of SpringerBriefs in Applied Sciences and Technology series
£40.49, reduced from £44.99. Not Available.