Support Vector Machines

Quick Video Explanation

Lecture by Patrick Winston

1. Start with data in a relatively low dimension.
2. Move the data into a higher dimension, using a Kernel Function.
3. Find a support vector classifier that separates the higher dimensional data into 2 groups.