Machine Learning (Stanford)

Course | Linear Dynamical Systems Introduction to Linear Dynamical Systems (EE263) is the introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Introduction to Linear Dynamical Systems (EE263) is the introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems.