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Titlebook: Sports Analytics; Data-Driven Sports a A Mansurali,P. Mary Jeyanthi,Ali B. Mahmoud Book 2024 The Editor(s) (if applicable) and The Author(s

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发表于 2025-3-21 16:46:17 | 显示全部楼层 |阅读模式
书目名称Sports Analytics
副标题Data-Driven Sports a
编辑A Mansurali,P. Mary Jeyanthi,Ali B. Mahmoud
视频video
概述Shows how to apply machine learning and data mining algorithms for on-field and off-field analysis.Details how to use machine learning to highlight key performance indicators of sports for performance
图书封面Titlebook: Sports Analytics; Data-Driven Sports a A Mansurali,P. Mary Jeyanthi,Ali B. Mahmoud Book 2024 The Editor(s) (if applicable) and The Author(s
描述.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
出版日期Book 2024
关键词Decision Intelligence; predictive analytics; Data-driven sports; Sports Analytics; on-field and off-fiel
版次1
doihttps://doi.org/10.1007/978-3-031-63573-1
isbn_softcover978-3-031-63575-5
isbn_ebook978-3-031-63573-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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