Introduction to Machine Learning

10-601B, Fall 2016
School of Computer Science
Carnegie Mellon University

Perceptron

Additional Reading

Andrew Ng's notes on SVM optimization

What you should know after

The SVM algorithm
How the perceptron and SVM are similar and different
What a support vector is
What slack variables are and why and when they are used in SVM
How to kernelize SVM