From Rough Paths to Streamed Data

Explore a thought-provoking lecture by Terry Lyons from the University of Oxford, delivered as part of the Third Symposium on Machine Learning and Dynamical Systems. Delve into the fascinating journey from rough paths to streamed data, gaining insights into the intersection of mathematical theory and practical applications in data analysis. Discover how concepts from rough path theory can be applied to understand and process complex, time-dependent data streams, potentially revolutionizing approaches to machine learning and dynamical systems.