Machine Learning in Sports - Identifying Potential Archers (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	September 2018
First published:	2019
Authors:	Rabiu Muazu Musa • Zahari Taha • Anwar P.P. Abdul Majeed • Mohamad Razali Abdullah
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	45
Edition:	1st ed. 2019
ISBN-13:	978-981-13-2591-5
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Sport & Leisure > Sports & outdoor recreation > Sports training & coaching > Sports psychology Promotions
LSN:	981-13-2591-X
Barcode:	9789811325915

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