Data and Machine Learning at League of Legends

Data and Machine Learning at League of Legends

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.