Ai and Machine Learning Applications in Sports Analytics

ISBN 13: 9798369353851
Published by Engineering Science Reference, 2025
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Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists.

About the Author: Tanupriya Choudhury completed his undergraduate studies in Computer Science and Engineering at the West Bengal University of Technology in Kolkata (2004-2008), India, followed by a Master's Degree in the same field from Dr. M.G.R University in Chennai, India (2008-2010). In 2016, he successfully obtained his PhD degree from Jagannath University, Jaipur. With a total of 15 years of experience in both teaching and research, Dr. Choudhury holds the position of Visiting Professor at Daffodil International University Bangladesh. Currently, he is working as a Professor and Associate Dean of Research at Graphic Era Deemed to be University, Dehradun, India. Prior to this role, he served Symbiosis International Deemed University Pune, Graphic Era Hill University Dehradun (Research Professor), UPES Dehradun (Professor and Research Head Informatics), Amity University Noida (Assistant Professor Grade 3 and International Dept. Head), and other prestigious academic institutions (Dronacharya College of Engineering Gurgaon, Lingaya's University Faridabad, Babu Banarsi Das Institute of Technology Ghaziabad, Syscon Solutions Pvt. Ltd. Kolkata etc.). Recently recognized for his outstanding contributions to education with the Global Outreach Education Award for Excellence in Best Young Researcher Award at GOECA 2018. His areas of expertise encompass Human Computing, Soft Computing, Cloud Computing, Data Mining among others. Notably accomplished within his field thus far is filing 25 patents and securing copyrights for 16 software programs from MHRD (Ministry of Human Resource Development). He has actively participated as an attendee or speaker at numerous National and International conferences across India and abroad. With more than 150 research papers (Scopus) authored to date on record; Dr. Choudhury has also been invited as a guest lecturer or keynote speaker at esteemed institutions such as Jamia Millia Islamia University, Maharaja Agersen College (Delhi University), Duy Tan University Vietnam etc.He has also contributed significantly to various conferences throughout India serving roles like TPC member and session chairperson. As an active professional within the technical community; Dr.Choudhury holds lifetime membership with IETA (International Engineering & Technology Association) along with being affiliated with IEEE (Institute of Electrical and Electronics Engineers), IET(UK) (Institution of Engineering & Technology UK), and other reputable technical societies.Additionally, he is associated with corporate entities and serves as a Technical Adviser for Deetya Soft Pvt. Ltd., Noida, IVRGURU, and Mydigital360.He is also serving a Editor's in reputed Journals. He currently serves as the Honorary Secretary in IETA (Indian Engineering Teacher's Association-India), alongside his role as the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.

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Title: Ai and Machine Learning Applications in ...
Publisher: Engineering Science Reference
Publication Date: 2025
Binding: Hardcover
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Paperback. Condition: new. Paperback. Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369353868

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Paperback. Condition: new. Paperback. Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798369353868

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Hardcover. Condition: new. Hardcover. Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369353851

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