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

By: (Author) Anwar P. P. Abdul Majeed , (Author) Mohamad Razali Abdullah , (Author) Mohd Azraai Mohd Razman , (Author) Muhammad Zuhaili Suhaimi , (Author) Noor Azuan Abu Osman , (Author) Rabiu Muazu Musa

Extended Catalogue

Ksh 8,100.00

Format: Paperback / Softback

ISBN-10: 9811631913

ISBN-13: 9789811631917

Edition: 1st ed. 2021

Series: SpringerBriefs in Applied Sciences and Technology

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 19th, 2021

Print length: 53 Pages

Product Classification: Artificial intelligence
Machine learning
Sports & outdoor recreation

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It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players.
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.

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