Advanced Artificial Intelligence in Sports Science : A Guide to Models, Applications, and Ethical Challenges

Advanced Artificial Intelligence in Sports Science presents a comprehensive, application-oriented guide to artificial intelligence in sports science, integrating machine learning, Bayesian methods, and neural networks with real-world performance data to support evidence-based decision-making in sport.

Advanced Artificial Intelligence in Sports Science presents a comprehensive, application-oriented guide to artificial intelligence in sports science, integrating machine learning, Bayesian methods, and neural networks with real-world performance data to support evidence-based decision-making in sport. Readers will gain practical and methodological expertise in applying AI models to sports data, including regression, neural networks, and time series approaches. The book combines theoretical foundations with reproducible case studies, LLM-assisted workflows, and transparent analytical pipelines. It emphasizes interpretability, uncertainty quantification, and ethical considerations, enabling readers to design, implement, and critically evaluate AI-driven solutions in sport. By bridging statistical reasoning, domain expertise, and modern AI techniques, the book provides a structured framework for both research and applied practice. This book is intended for researchers, graduate students, and professionals in sports science, data analysis, and artificial intelligence, as well as practitioners such as coaches, analysts, and sport managers seeking to apply advanced data-driven methods in performance analysis and decision-making.