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Machine Learning in Sports

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Machine Learning in Sports Synopsis

This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.?

About This Edition

ISBN: 9789811325915
Publication date:
Author: Rabiu Muazu Musa, Zahari Taha, Anwar PPAbdul Majeed, Mohamad Razali Abdullah
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 45 pages
Series: SpringerBriefs in Applied Sciences and Technology
Genres: Artificial intelligence
Sports psychology
Computer applications in the social and behavioural sciences
Computer modelling and simulation
Biomedical engineering
Sports