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: | , , , |
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| Format: | Book |
| Language: | en en |
| Published: |
Springer
2019
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| 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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| _version_ | 1831526329475923968 |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.24656 |
| institution | Universiti Malaysia Pahang |
| language | en en |
| publishDate | 2019 |
| publisher | Springer |
| record_format | eprints |
| 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 |
| spellingShingle | TS Manufactures Rabiu Muazu, Musa Zahari, Taha Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Machine Learning in Sports: Identifying Potential Archers |
| title | 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_short | Machine Learning in Sports: Identifying Potential Archers |
| title_sort | machine learning in sports: identifying potential archers |
| topic | TS Manufactures |
| 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 |
| url_provider | http://umpir.ump.edu.my/ |