Explore key concepts in learning theory through an in-depth lecture that examines both positive and negative learnability results in machine learning, providing theoretical foundations and practical insights into what can and cannot be learned by algorithms.
Machine Learning: Positive and Negative Learnability Results - Lecture 16
Overview
Syllabus
Machine Learning: Lecture 16a: Learnability results
Taught by
UofU Data Science
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