Non-stationary and Deep Gaussian Processes

Learn about non-stationary and deep Gaussian processes in this academic seminar presented by Conor Osborne from the University of Edinburgh. Explore the mathematical and statistical foundations that underpin future data-driven engineering applications through an in-depth discussion of advanced machine learning concepts. Delivered as part of the DDE series focusing on data-driven engineering, the lecture delves into sophisticated statistical modeling techniques that are essential for understanding complex, non-stationary systems and deep learning approaches to Gaussian processes.