Introduction to Resampling Methods in Machine Learning

Abstract: This talk, based on Chapter 5 of An Introduction to Statistical Learning with Applications in Python, introduces Resampling Methods such as cross-validation and the bootstrap. We’ll discuss how these techniques improve model assessment and selection by providing more accurate estimates of prediction error and model variability, illustrated through practical Python applications.

Computer scienceMathematics

Audience: general audience

Basic Notions and Applied Topology Seminar