10-601 Perceptrons and Voted Perceptrons
From Cohen Courses
This a lecture used in the Syllabus for Machine Learning 10-601
Slides
- Slides in Powerpoint. Will be updated
Readings
- None
Assignment
- Implement the voted perceptron and try it on some data.
What You Should Know Afterward
- The difference between an on-line and batch algorithm.
- How to implement the voted perceptron.
- The definition of a mistake bound, and a margin.