Explore computational learning theory and the concept of agnostic learning in this university lecture that delves into fundamental machine learning principles, examining how learning algorithms can be designed to work effectively even when perfect classification is impossible or when the target concept is not part of the hypothesis class.
Agnostic Learning in Machine Learning - Lecture 16
Overview
Syllabus
Machine Learning: Lecture 16: Agnostic Learning
Taught by
UofU Data Science
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