Springer, 2025. — 358 p. — ISBN 978-3-031-76046-4. — (Springer Optimization and Its Applications).
This book delves into the dynamic intersection of Data Sciences, data mining, Machine Learning, and optimization within sports. It compiles and presents the latest achievements in this vibrant and emerging research area, offering a comprehensive overview of how these technologies revolutionize sports analytics and performance.
Topical coverage includes Artificial Intelligence (AI) in sports, automated Machine Learning for training sessions, computational social science, and Deep Learning applications. Readers will also explore cutting-edge concepts such as digital twins in sports and sports prediction through data analysis. This volume highlights theoretical advancements and practical case studies that demonstrate real-world applications.
Ideal for researchers, practitioners, and students in fields related to sports science, Data Sciences, data analytics, and Machine Learning, this book serves as a crucial resource for anyone looking to understand the transformative impact of technology on sports. Whether you are an academic scholar or a professional working in the industry, this collection offers valuable insights that bridge the gap between research and practical solutions.
Artificial Intelligence, Optimization, and Data Sciences in Sports: Editorial
Machine Learning for Soccer Match Result Prediction
Machine Learning for the Prediction of the Index of Effectiveness in Cycling
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements
Analytics for Sports: General Overview and NBA Case Study
An Ecological Dynamics Approach to the Use of Artificial Intelligence and Machine Learning to Analyze Performance in Football
A Supervised Learning Approach for Evaluating Football Performances
Bridging Route-Based Cycling Training with Digital Twin