Explore the fundamental concepts of PAC (Probably Approximately Correct) learning in this 41-minute lecture from the University of Utah's Data Science program, delving into theoretical frameworks that help understand when and how machine learning algorithms can achieve reliable performance guarantees.
PAC Learning in Machine Learning Theory - Lecture 13
Overview
Syllabus
Machine learning: Lecture 13a: PAC learning
Taught by
UofU Data Science
