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Machine learning in sportsidentifyin...

Muazu Musa, Rabiu.

Machine learning in sportsidentifying potential archers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning in sportsby Rabiu Muazu Musa ... [et al.].
Reminder of title:	identifying potential archers /
other author:	Muazu Musa, Rabiu.
Published:	Singapore :Springer Singapore :2019.
Description:	xii, 45 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Archery.
Online resource:	https://doi.org/10.1007/978-981-13-2592-2
ISBN:	9789811325922$q(electronic bk.)

Machine learning in sportsidentifying potential archers /
Machine learning in sportsidentifying potential archers /[electronic resource] :by Rabiu Muazu Musa ... [et al.]. - Singapore :Springer Singapore :2019. - xii, 45 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- Bio-physiological indicators in evaluating archery performance -- Psychological variables in ascertaining potential archers -- Anthropometry correlation to archery performance -- Physical fitness parameters in the identification of high potential archers -- Concluding remarks.

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.

ISBN: 9789811325922$q(electronic bk.)

Standard No.: 10.1007/978-981-13-2592-2doiSubjects--Topical Terms:

833285
Archery.

LC Class. No.: GV1185 / .M873 2019

Dewey Class. No.: 799.32

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505 0 $a Introduction -- Bio-physiological indicators in evaluating archery performance -- Psychological variables in ascertaining potential archers -- Anthropometry correlation to archery performance -- Physical fitness parameters in the identification of high potential archers -- Concluding remarks.
520 $a 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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950 $a Intelligent Technologies and Robotics (Springer-42732)