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.