| Machine Learning in Sports: Identifying Potential Archers 2019 Edition Contributor(s): Muazu Musa, Rabiu (Author), Taha, Zahari (Author), P. P. Abdul Majeed, Anwar (Author) |
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ISBN: 981132591X ISBN-13: 9789811325915 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: September 2018 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Sports & Recreation | Sports Psychology - Computers | Computer Simulation |
| Dewey: 003.3 |
| Series: Springerbriefs in Applied Sciences and Technology |
| Physical Information: 0.12" H x 6.14" W x 9.21" (0.21 lbs) 45 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |
