The 100k Question: Leveraging Large Scale Datasets to Make the Most of In-Game Decisionsby Dylan Rogerson
Senior Data Scientist
A colleague of mine once asked “Why would you ever need over 100k observations for <insert model>?” It’s surprising that many models we develop don’t need much data to reach a good level of accuracy. In this talk we’ll discuss how Activision leverages large datasets and feature space to build complex models. We’ll also talk about how to transfer these learnings to more digestible ‘simple’ models and how accuracy in these models translates to useable in-game action. Finally we’ll showcase some of our model development pipeline and thoughts on when you really do need millions or billions of data points to make substantial improvements to the game.