## Description

SVMs from a geometric perspective as well as the regularization perspective. We introduce the basic tools of optimization, including duality, to analyze the SVM problem.## Slides

Slides for this lecture: PDF## Suggested Reading

- Rifkin.
Everything Old Is New Again: A Fresh Look at Historical Approaches in Machine Learning.MIT Ph.D. Thesis, 2002.- Evgeniou, Pontil and Poggio.
Regularization Networks and Support Vector MachinesAdvances in Computational Mathematics, 2000.- V. N. Vapnik.
The Nature of Statistical Learning Theory.Springer, 1995.