Ali Ghodsi, Deep Learning, PAC Learnability in Deep Learning, Fall 2023, Lecture 20

This video provides an introduction to the fundamentals of statistical machine learning, focusing on PAC (Probably Approximately Correct) learnability and agnostic PAC learnability. It highlights the challenges faced when applying generalization theories to deep learning, offering insights into the limitations and nuances of these approaches. Covered Topics: - Basics of Statistical Machine Learning - PAC Learnability - Agnostic PAC Learnability - Generalization Challenges in Deep Learning Keywords: Deep Learning, Statistical Machine Learning, PAC Learnability, Agnostic PAC, Machine Learning Theory, Generalization.