Machine Learning in Sports: Identifying Potential Archers

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...

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Main Authors: Rabiu Muazu, Musa, Zahari, Taha, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah
Format: Book
Language:English
English
Published: Springer 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24656/1/9.%20Introduction.pdf
http://umpir.ump.edu.my/id/eprint/24656/2/9.1%20Introduction.pdf
http://umpir.ump.edu.my/id/eprint/24656/
https://link.springer.com/book/10.1007%2F978-981-13-2592-2#authorsandaffiliationsbook
https://link.springer.com/book/10.1007%2F978-981-13-2592-2
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spelling my.ump.umpir.246562019-04-15T04:40:43Z http://umpir.ump.edu.my/id/eprint/24656/ Machine Learning in Sports: Identifying Potential Archers Rabiu Muazu, Musa Zahari, Taha Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah TS Manufactures 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.​ Springer 2019 Book PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24656/1/9.%20Introduction.pdf pdf en http://umpir.ump.edu.my/id/eprint/24656/2/9.1%20Introduction.pdf Rabiu Muazu, Musa and Zahari, Taha and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah (2019) Machine Learning in Sports: Identifying Potential Archers. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 1-9. ISBN 978-981-13-2592-2 https://link.springer.com/book/10.1007%2F978-981-13-2592-2#authorsandaffiliationsbook https://link.springer.com/book/10.1007%2F978-981-13-2592-2
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TS Manufactures
spellingShingle TS Manufactures
Rabiu Muazu, Musa
Zahari, Taha
Anwar, P. P. Abdul Majeed
Mohamad Razali, Abdullah
Machine Learning in Sports: Identifying Potential Archers
description 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.​
format Book
author Rabiu Muazu, Musa
Zahari, Taha
Anwar, P. P. Abdul Majeed
Mohamad Razali, Abdullah
author_facet Rabiu Muazu, Musa
Zahari, Taha
Anwar, P. P. Abdul Majeed
Mohamad Razali, Abdullah
author_sort Rabiu Muazu, Musa
title Machine Learning in Sports: Identifying Potential Archers
title_short Machine Learning in Sports: Identifying Potential Archers
title_full Machine Learning in Sports: Identifying Potential Archers
title_fullStr Machine Learning in Sports: Identifying Potential Archers
title_full_unstemmed Machine Learning in Sports: Identifying Potential Archers
title_sort machine learning in sports: identifying potential archers
publisher Springer
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/24656/1/9.%20Introduction.pdf
http://umpir.ump.edu.my/id/eprint/24656/2/9.1%20Introduction.pdf
http://umpir.ump.edu.my/id/eprint/24656/
https://link.springer.com/book/10.1007%2F978-981-13-2592-2#authorsandaffiliationsbook
https://link.springer.com/book/10.1007%2F978-981-13-2592-2
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score 13.211869