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Explore how Riot Games leverages data science and machine learning to enhance player experience in League of Legends in this 39-minute talk from Data Council. Discover the unique challenges of deploying and training models in a binary video game environment, and learn about the evolution of Riot's data and ML stack since 2009. Gain insights into player-facing ML applications such as lane detection and feeding detection, as well as decision science at scale. Senior software engineer Ian from the League Data Central team shares how his team develops and implements ML and data products that impact millions of League of Legends and TFT players, including in-game recommendations and player behavior models. Understand how data-driven approaches are used to improve gameplay and create a better gaming experience for all players.
