Interpolation and Learning With Scale Dependent Kernels

Explore the intricacies of interpolation and learning with scale dependent kernels in this comprehensive lecture by Lorenzo Rosasco from MaLGa, Universita degli Studi di Genova, MIT, and IIT. Delve into key concepts such as overfitting, supervised learning, and statistical learning theory. Gain insights into kernels from a practical perspective and understand their role in error analysis. Examine classical intuition and theory behind interpolation in regression problems. Enhance your understanding of machine learning fundamentals and advanced techniques in this hour-long presentation.

Intro
Overfitting
supervised learning
Statistical learning theory
Kernels
Practical perspective
Error
Classical Intuition
Interpolation
Theory
Regression