Kernelization of Reservoir Systems
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore the concept of kernelization in reservoir systems through this 33-minute lecture by Lyudmila Grigoryeva from the University of St. Gallen. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute, gain insights into the intersection of machine learning techniques and dynamical systems theory. Delve into the mathematical foundations and practical applications of kernelization in the context of reservoir computing, enhancing your understanding of advanced machine learning concepts.
Syllabus
Kernelization of Reservoir Systems
Taught by
Fields Institute
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent