Build a Soccer Agent
Nacho Martínez guides you through building a soccer analytics agent.
Ignacio (Nacho) Martínez Rincón
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실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
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How Data Science is Changing Soccer
With the Fifa 2022 World Cup upon us, learn about the most widely used data science use-cases in soccer.
Richie Cotton · 3 min
팟캐스트
[DataFramed AI Series #4] Building AI Products with ChatGPT
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코딩 실습
How to Deal with Messi Data
Pegah Rahimian, a Soccer Analytics Researcher at Uppsala University, will guide you through analyzing World Cup player data with a focus on Lionel Messi.
Pegah Rahimian
Soccer analytics is becoming increasingly sophisticated, with teams and fans using data to understand performance, tactics, and player impact. With AI agents, you can go a step further—creating systems that automatically analyze data, answer questions, and generate insights on demand.
In this code-along webinar, Nacho Martínez Rincón, a Data Scientist Advocate at Oracle, will guide you through building a soccer analytics agent using Claude and Oracle as the memory layer. You'll learn how to design an agent that can query and interpret match data, explore a real-world FIFA World Cup dataset, and see how AI can support deeper analysis of the game.
Key Takeaways
Session Resources