Differentiable Programming for Data-driven Modeling, Optimization, and Control
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore the cutting-edge intersection of machine learning and dynamical systems in this 23-minute conference talk by Jan Drgona from Pacific Northwest National Laboratory. Delve into the world of differentiable programming and its applications in data-driven modeling, optimization, and control. Gain insights into how these advanced techniques are shaping the future of scientific computing and engineering. Part of the Fourth Symposium on Machine Learning and Dynamical Systems, this presentation offers a concise yet comprehensive overview of the latest developments in this rapidly evolving field.
Syllabus
Differentiable Programming for Data-driven Modeling, Optimization, and Control
Taught by
Fields Institute
Related Courses
Robot Mechanics and Control, Part ISeoul National University via edX Sense101x: Sense, Control, Act: Measure the Universe, Transform the World
University of Queensland via edX Dynamics and Control
Universitat Politècnica de València via UPV [X] Dynamics and Control
Universitat Politècnica de València via edX Control automático: la tecnología invisible
Universidad Nacional Autónoma de México via Coursera