Module: SVM
Support Vector Machines
Learning Outcomes
Understand how to use SVM for classification
You understand
- what is linear separability
- what is a hyperplane
- what is the margin to nearest data points (support
vectors)
- what is support vector machine
- how support vectors are computed from data