Statistical Learning - Robert Schapire, Microsoft Research

Explore the principles of statistical learning in this lecture by Robert Schapire from Microsoft Research. Delve into the concepts of strong and weak learning, examine key theorems, and understand the fundamentals of boosting algorithms. Learn about natural ideas in machine learning, analyze training error, and discover how boosting techniques can improve model performance. Gain insights into confidence measures and their role in statistical learning approaches.

Introduction
Strong and Weak Learning
Theorem
Boosting
Natural Ideas
Training Error
Boosting After Training Error
Confidence