Sports Analytics
Springer International Publishing (Verlag)
978-3-031-63572-4 (ISBN)
- Noch nicht erschienen - erscheint am 10.11.2024
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
This book allows readers 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. The authors explore 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.
The 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.
Dr. Dieu Hack-Polay is an associate Professor of Management at Crandall University (Canada) and an Associate Professor in Organizational Studies at Lincoln International Business School, University of Lincoln (UK). He has significant industry experience. His academic experience spans several years in various institutions and countries. Dr. Dieu Hack-Polay obtained the Doctor of Philosophy (PhD) in sociology at the University of Surrey and the Doctor of Education (EdD) in leadership and management at the University of Lincoln. His main research interest is in sociology and international human resource management. He has authored three books and several book chapters research articles in international journals. His latest publications examine the role of technology in environmental sustainability. His professional affiliations include chartered fellowship of the Chartered Institute of Personnel & Development (CIPD), fellowship of the Higher Education Academy (HEA) and fellowship ofthe Society for Education & Training (SET). He is also an active member of the British Sociological Association (BSA) and the Canadian Sociological Association (CSA).
A Mansurali is an avid researcher and a well-rounded academician in the field of business management, with a special focus on marketing, analytics, and applied research. With innovative and engaging pedagogy, he engages and trains students to understand the current developments in the fields and has several academic contributions in the form of publications to his credit. He is proficient in R, Python, Tableau, Power BI and machine learning algorithms. He's also a certified trainer for R and Machine learning from STAR certification. His competence in analytics and research has earned him key roles in sponsored research projects. He has spent 10 years teaching management graduates marketing, analytics related courses and researching the same. He has also bagged funding from the University GrantsCommission to conduct research in the area of Microfinance. Dr. A Mansurali has completed his undergraduate BCA from PSG College of Arts and Science and MBA from PSG College of Technology and a doctoral degree from Anna University, Chennai. He has also completed PGDCA, M.Sc. Applied Psychology and MA Tamil from Bharathiar University- School of Distance Education. He also holds a PGP - Business Analytics and Business Intelligence degree jointly offered by Great Lakes School for Executive Learning Mccombs school of business, and The University of Texas at Austin. And he's a lifetime learner having certification in the areas of Digital Marketing, Business intelligence, and analytics. He also engages academic fraternity, and industry and trains them in the areas of business intelligence, analytics, and research through MDP and FDPs.Prior to academics, served in Janalakshmi Financial services as Area Head- Sales, the role of serving financially excluded people and involved in the activities of Customer acquisition for financial services and handling payment cycle. Publications: Scopus: 15 , Number of Publications: 39 and Book Chapters: 25.
Dr. P. Mary Jeyanthi is an Associate Professor of Jaipuria Institute of Management, Jaipur, India. She had one decade of industry experience in HDFC Bank Ltd, Business Intelligence Unit, Chennai, Tamil Nadu. She had a hand full of expertise in Business Intelligence and forecasting analytics. She had done her research in "A New Implementation of Mathematical Models with metaheuristic Algorithms for Business Intelligence". Business Intelligence & Analytics initiatives on High Net Worth (HNW) Portfolio and She will be responsible for the creation and execution of strategies. She is also a visiting faculty of IMT Ghaziabad, Woxsen University, Hyderabad.Dr. Besides that, she had published a number of research papers in various national and international reputed journals. Conducted several workshops on Research Methodology and Business In
Introduction.- Visualizing in Sports Analytics.- IoT and Block Chain in Sports.- Sports Revenue Analytics.- Sports Marketing Analytics.- Forecasting in Sports.- Machine learning & AI in sports.- Classification and Regression techniques for sports.- Sports Analytics in different sports.- 'Sports analytics data'-Who uses it?.- Case Studies.- Conclusion.
| Erscheint lt. Verlag | 10.11.2024 |
|---|---|
| Zusatzinfo | X, 290 p. 50 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Data-driven sports • decision intelligence • on-field and off-field analytics • predictive analytics • Sports analytics |
| ISBN-10 | 3-031-63572-8 / 3031635728 |
| ISBN-13 | 978-3-031-63572-4 / 9783031635724 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
