1 option
AI and machine learning applications in sports analytics / [edited by] Tanupriya Choudhury, Pradeep Kumar Arya, Ketan Kotecha, Ashutosh Sharma, Jung-Sup Um.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Sports--Statistical methods.
- Sports.
- Artificial intelligence--Statistical methods.
- Artificial intelligence.
- Sports--Technological innovations.
- Machine learning.
- Physical Description:
- 1 online resource (19 PDFs (346 pages))
- Place of Publication:
- Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, [2025]
- Contents:
- Preface
- Chapter 1. Real-Time Sports Analysis: A Novel Computer Vision System for Player Movement and Game Situations
- Chapter 2. AI-Based Player Fatigue and Workload Monitoring Systems
- Chapter 3. Building Your Sports Analytics Team
- Chapter 4. Game Tactics and Strategy Optimization Through AI and Machine Learning
- Chapter 5. Logistic Regression-Based Injury Prediction and Prevention in Sports Analytics: An AI Approach
- Chapter 6. Machine Learning for Enhanced Fan Engagement and Experience in Sports
- Chapter 7. Injury Prevention and Rehabilitation Using Machine Learning for Athletes
- Chapter 8. A Machine Learning Approach to Playing-11 Prediction in Competitive Cricket
- Chapter 9. AI in Talent Scouting and Player Development: Role of AI and Machine Learning in Identifying and Nurturing Talent in Sports Organizations
- Chapter 10. Artificial Intelligence and Machine Learning in Sport Research
- Chapter 11. Artificial Neural Networks for Talent Identification and Scouting
- Chapter 12. Ethical Considerations in Sports Analytics: Exploring the Ethical Challenges Presented by the Use of AI and ML in Sports
- Chapter 13. Sports Analytics Case Studies
- Compilation of References
- About The Contributors
- Index.
- Notes:
- Includes bibliographic references and index.
- Electronic reproduction. Hershey, Pa. Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on May 27, 2025).
- Other Format:
- Print version:
- ISBN:
- 9798369353875
- Publisher Number:
- 40032832241
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.