Machine Learning in Elite Volleyball - Integrating Performance Analysis, Competition and Training Strategies (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	June 2021
First published:	2021
Authors:	Rabiu Muazu Musa • Anwar P.P. Abdul Majeed • Muhammad Zuhaili Suhaimi • Mohd Azraai Mohd Razman • Mohamad Razali Abdullah • Noor Azuan Abu Osman
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	53
Edition:	1st ed. 2021
ISBN-13:	978-981-16-3191-7
Categories:	Books > Sport & Leisure > Sports & outdoor recreation > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-16-3191-3
Barcode:	9789811631917

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