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Explore foundational concepts of learning theory in this comprehensive lecture that examines theoretical frameworks for understanding how machines learn, diving into the mathematical and computational principles that underpin modern machine learning approaches. Access supplementary materials and detailed lecture notes through the course website for deeper insights into computational learning theory fundamentals.
Syllabus
Machine Learning: Lecture 12a: Introduction to Computational Learning Theory
Taught by
UofU Data Science