Predicting F1 Race Strategies using ML.NET

Explore the fascinating world of Formula 1 race strategy prediction using machine learning in this conference talk from Copenhagen DevFest 2023. Discover how ML.NET can be leveraged to analyze historical race data and make predictions about team strategies for upcoming Grand Prix events. Learn about the challenges and possibilities of applying machine learning techniques to the complex world of F1 racing, where teams must make crucial decisions about tire selection and pit stop timing. Follow along as the speaker demonstrates an experimental approach to predicting strategies for the Italian Grand Prix, showcasing the potential of data-driven insights in motorsport. Gain valuable insights into the intersection of software development, machine learning, and high-stakes competitive racing.