Learn about the fundamental concept of shattering in machine learning through a comprehensive lecture that explores how this mathematical notion helps analyze and understand infinite hypothesis spaces, providing essential insights into computational learning theory and the theoretical foundations of machine learning algorithms.
Machine Learning: Understanding Hypothesis Spaces Through Shattering - Lecture 17
Overview
Syllabus
Machine learning: Lecture 17: Shattering
Taught by
UofU Data Science
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