Explore computational learning theory and delve into the concept of agnostic learning in this 27-minute lecture that examines how machine learning systems can operate without making strong assumptions about the underlying data distribution or target function.
Agnostic Learning in Computational Learning Theory - Lecture 16
Overview
Syllabus
Machine Learning: Lecture 16b: Agnostic learning
Taught by
UofU Data Science
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