3 books on AI for Sports [PDF]

Updated: May 11, 2024

Books on AI for sports provide startups developing AI solutions for the sports industry with invaluable insights into the applications of artificial intelligence in sports analytics, athlete performance optimization, injury prevention, and fan engagement. These texts offer a comprehensive understanding of how AI can harness data from wearables, video feeds, and sensors to provide real-time insights, helping teams and athletes make data-driven decisions.

1. AI and Society: Tensions and Opportunities
2023 by Christo El Morr



The profound impact of AI on human societies is undeniable, with its adoption and implementation globally, backed by substantial investments from governments and universities. Yet, there remains a notable absence of comprehensive research on how AI shapes our lives. "AI and Society: Tensions and Opportunities" seeks to bridge this knowledge gap by compiling insights from diverse perspectives worldwide. It assesses AI's influence on various facets of society and offers recommendations for addressing its impact, highlighting the essential research agendas required to navigate this transformative landscape.
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2. Artificial Intelligence for All: Transforming Every Aspect of Our Life
2020 by Utpal Chakraborty



"Artificial Intelligence for All" offers a comprehensive exploration of AI's far-reaching applications across various industries and its potential impact on everyday life, with a specific focus on the Indian context and its industries and economy. It begins by examining the global race for AI dominance, highlighting its influence on mainstream politics and world leaders. Subsequent chapters delve into AI's role in sectors such as Banking and Finance, including applications like Financial Crime detection, Credit Risk Assessment, conversational banking powered by AI, Predictive Analytics, and recommendations. The book also delves into the exciting realm of AI in Sports, appealing to both sports enthusiasts and professionals in the Sports and Computer Games fields. Furthermore, it places special emphasis on Conversational AI, exploring the utility of Virtual Assistants and ChatBots across various sectors.
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3. Sports Data Mining
2010 by Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen



This book serves as a comprehensive repository of the latest advancements in Sports Data Mining across a wide range of international sports, including baseball, football, basketball, soccer, and greyhound racing. Notably, it features contributions from esteemed experts in data mining, such as Hsinchun Chen. The book delves into cutting-edge research, software tools, and practical applications for each sport, shedding light on hidden patterns in gaming and wagering, as well as popular systems for wager analysis. Given the immense economic value of professional sports teams, surpassing billions of dollars in the US and Europe, the book caters to a broad audience, including sports business professionals, researchers in data mining, and individuals involved in sports statistics services. Furthermore, the book appeals to those interested in the burgeoning field of sports business programs and the broader domain of pari-mutuel wagering sports worldwide.
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