Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning in Sports: Identifying Potential Archers

Machine Learning in Sports: Identifying Potential Archers

Muazu Musa, Rabiu
Taha, Zahari
P. P. Abdul Majeed, Anwar

Paperback

Series: Springerbriefs in Applied Sciences and Technology

Sports GeneralGeneral Computers

ISBN10: 981132591X
ISBN13: 9789811325915
Publisher: Springer Nature
Published: Sep 27 2018
Pages: 45
Weight: 0.21
Height: 0.12 Width: 6.14 Depth: 9.21
Language: English
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.​

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