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Machine Learning: Positive and Negative Learnability Results - Lecture 16

UofU Data Science via YouTube

Overview

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.

Syllabus

Machine Learning: Lecture 16a: Learnability results

Taught by

UofU Data Science

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