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.​ Front Matter ....Pages i-xii Introduction (Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah)....Pages 1-11 Bio-Physiological Indicators in Evaluating Archery Performance (Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah)....Pages 13-20 Psychological Variables in Ascertaining Potential Archers (Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah)....Pages 21-27 Anthropometry Correlation Towards Archery Performance (Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah)....Pages 29-35 Psycho-Fitness Parameters in the Identification of High-Potential Archers (Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah)....Pages 37-44 Concluding Remarks (Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah)....Pages 45-45