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Ai And Machine Learning Applications In Sports Analytics


Ai And Machine Learning Applications In Sports Analytics
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Ai And Machine Learning Applications In Sports Analytics


Ai And Machine Learning Applications In Sports Analytics
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Author : Choudhury, Tanupriya
language : en
Publisher: IGI Global
Release Date : 2025-05-13

Ai And Machine Learning Applications In Sports Analytics written by Choudhury, Tanupriya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.


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.



Artificial Intelligence And Machine Learning In Sports Science


Artificial Intelligence And Machine Learning In Sports Science
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Author : Daniel Memmert
language : en
Publisher: Springer Nature
Release Date : 2025-08-22

Artificial Intelligence And Machine Learning In Sports Science written by Daniel Memmert and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Sports & Recreation categories.


This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and sports practice. In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. There are many opportunities for future research activities, e.g. performance analysis to prevent injuries and personalized training methods. More than 25 experts help to cover a wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science. An outlook also addresses ethical issues concerning the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of sports informatics, sports technology, exercise science and sports medicine are provided with a comprehensive reference work with practical examples of an innovative field of research.



Artificial Intelligence And Machine Learning


Artificial Intelligence And Machine Learning
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Author : Anonim
language : en
Publisher: KODLAB YAYIN DAĞITIM YAZILIM LTD.ŞTİ.
Release Date :

Artificial Intelligence And Machine Learning written by Anonim and has been published by KODLAB YAYIN DAĞITIM YAZILIM LTD.ŞTİ. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. These intelligent systems can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.



Artificial Intelligence Optimization And Data Sciences In Sports


Artificial Intelligence Optimization And Data Sciences In Sports
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Author : Maude J. Blondin
language : en
Publisher: Springer Nature
Release Date : 2025-01-30

Artificial Intelligence Optimization And Data Sciences In Sports written by Maude J. Blondin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Mathematics categories.


This book delves into the dynamic intersection of data science, 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 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 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.



Recent Trends In Sports Engineering


Recent Trends In Sports Engineering
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Author : Suvanjan Bhattacharyya
language : en
Publisher: Springer Nature
Release Date : 2025-03-13

Recent Trends In Sports Engineering written by Suvanjan Bhattacharyya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Technology & Engineering categories.


This book presents the select proceedings of 3rd International Conference on Sports Engineering (ICSE 2023). It bridges the gap between sports industry and academia for improving sports infrastructure and facilities. Various topics covered in this book are design, manufacturing and testing of synthetic sports surfaces, design of training aids in sports, fitness and recreation activities, simulation and mathematical modelling of sports performance, designing sports facilities including indoor and outdoor Stadium, wearable exoskeletons and prosthesis in para sports, Olympic and Paralympic Sports equipment, artificial intelligence in sports training & performance, machine learning and computer vision, computer-aided design and application in sports, computer supported sports training and performance prediction, video analysis and image processing, sports analytics and data science. The book is useful for researchers and professionals working in the area of sports engineering.



Artificial Intelligence And Machine Learning In Drug Design And Development


Artificial Intelligence And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21

Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.


The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.



Machine Learning In Sports


Machine Learning In Sports
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Author : Keisuke Fujii
language : en
Publisher: Springer Nature
Release Date : 2025-05-12

Machine Learning In Sports written by Keisuke Fujii and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.


This open access book provides cutting-edge work on machine learning in sports analytics, emphasizing the integration of computer vision, data analytics, and machine learning to redefine strategic sports analysis. This book not only covers the essential methodologies of capturing and analyzing real sports data but also pioneers the integration of real-world analytics with digital modeling, advancing the field toward sophisticated digital modeling in sports. Through a seamless blend of theoretical frameworks and practical applications, the book illustrates how these integrated technologies can be utilized to predict, evaluate, and suggest next plays in sports. By leveraging the power of machine learning, the book presents cutting-edge approaches to sports analytics, where data from actual games is enhanced with predictive simulations for strategic planning and decision-making. The use of digital modeling in sports opens up new dimensions of interaction between the physical play and its digital analysis, offering a comprehensive understanding that was previously unattainable. This book is an essential read for postgraduates, researchers, and technologists, who are interested in sports analysts. The book consists of five parts: Part I, which comprises a single chapter exploring the fundamentals and scope of learning-based sports analytics; Parts II, III, IV, and V review the various aspects of this field, including data acquisition with computer vision, predictive analysis and play evaluation with machine learning, potential play evaluation with learning-based agent modeling, and future perspectives and ecosystems on the field. This structure provides a comprehensive overview that will engage and inform researchers and practitioners interested in the intersection of analytical research and cutting-edge technology in sports.



Sports Analytics


Sports Analytics
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Author : A Mansurali
language : en
Publisher: Springer Nature
Release Date : 2024-09-23

Sports Analytics written by A Mansurali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Technology & Engineering categories.


In "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness.It explores the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. This book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports.



The Ai Revolution In Sports


The Ai Revolution In Sports
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Author : Mr. Koushik Chatterjee
language : en
Publisher: OrangeBooks Publication
Release Date : 2024-06-28

The Ai Revolution In Sports written by Mr. Koushik Chatterjee and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.


"The AI Revolution in Sports" delves into the transformative impact of artificial intelligence on the world of athletics. The book explores how AI is revolutionizing sports analytics, enhancing performance through data-driven insights, and transforming training methodologies. By examining real-world examples, it highlights AI's role in injury prevention, game strategy optimization, and fan engagement. From sophisticated algorithms that predict player performance to virtual reality systems that simulate game scenarios, the book showcases the cutting-edge technologies redefining the sports landscape. It also addresses ethical considerations and the future trajectory of AI in sports, making it an essential read for athletes, coaches, and sports enthusiasts eager to understand the profound changes AI is bringing to their favorite games.



Artificial Intelligence To Analyze Psychophysical And Human Lifestyle


Artificial Intelligence To Analyze Psychophysical And Human Lifestyle
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Author : Gunjan Chhabra
language : en
Publisher: Springer Nature
Release Date : 2023-09-19

Artificial Intelligence To Analyze Psychophysical And Human Lifestyle written by Gunjan Chhabra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Psychology categories.


This book is about the use of technology/artificial intelligence in the areas of human behavior and psychology, health and nutrition, and fitness and sports. Everybody has his/her own lifestyle but may not necessarily be aware of what constitutes a healthy lifestyle. Knowledge gained from the Internet may be scattered and inaccurate and, if adhered to, may lead to loss of life. The COVID-19 pandemic increased people's awareness of the need for a healthy lifestyle but how to adopt a healthy lifestyle is something to be clarified since every individual is different (body type, situation, etc.), and hence, their needs will be different as well. This book addresses such questions and explores how the use of technology in the areas mentioned above can enable each individual to easily achieve a healthy lifestyle.