Explore advanced concepts in computational learning theory through this 51-minute lecture that concludes the discussion on agnostic learning, providing a thorough examination of theoretical frameworks and their practical applications in machine learning scenarios.
Agnostic Learning in Computational Learning Theory - Lecture 17
Overview
Syllabus
Machine Learning: Lecture 17a: Agnostic learning (continued)
Taught by
UofU Data Science
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