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Data and Machine Learning at League of Legends

MLOps World: Machine Learning in Production via YouTube

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Explore the unique data challenges faced by League of Legends and learn how Riot Games deploys machine learning models in a video game environment. Discover the fundamental data model for games as a service and trace the evolution of the data and ML stack since League's inception in 2009. Gain insights into deploying PyTorch, JAX, and NumPy models within and around a binary video game, presented by Ian Schweer, Staff Software Engineer at Riot Games, in this 29-minute conference talk from MLOps World: Machine Learning in Production.

Syllabus

Data @ League

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MLOps World: Machine Learning in Production

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