Machine Learning in Sports

£44.99

Machine Learning in Sports

Identifying Potential Archers

Biomedical engineering Sports and Active outdoor recreation Sports psychology Computer applications in the social and behavioural sciences Computer modelling and simulation Artificial intelligence

Authors: Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah

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Collection: SpringerBriefs in Applied Sciences and Technology

Language: English

Published by: Springer

Published on: 18th September 2018

Format: LCP-protected ePub

Size: 810 Kb

ISBN: 9789811325922


Introduction

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.

Performance Indicators

The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness.

Traditional Methods

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.

Machine Learning Approach

This book explores the notion of machine learning that is capable of mitigating the aforesaid issue.

Target Audience

This book is valuable for coaches and managers in identifying potential archers during talent identification programs.

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