Support Vector Machines
- Russell and Norvig say that the SVM framework is currently the
most popular approach for off the shelf supervised learning.
- It's what you start with for an analytics problem.
- It uses optimally placed linear separators (based on the
- When linear separators don't work, it uses the kernel
trick to project to higher dimensions where they do work.
- It's a framework because you need to select the appropriate
- So, an analyst uses this framework to get a cheap lunch.