Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
An introductory overview of optimization, detailing its core concepts, diverse applications across machine learning and control, and the foundational structure for advanced study.
In this lecture I give an overview of the goals, topics, and structure to be presented in the Optimization Bootcamp lecture series.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company.
Seminar notes & discussion
No public seminar notes on this lecture yet.