Difference between revisions of "10-601 Perceptrons and Voted Perceptrons"
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=== Assignment === | === Assignment === | ||
| − | * Implement voted perceptron and try it on some data. | + | * Implement the voted perceptron and try it on some data. |
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
Revision as of 16:51, 30 July 2013
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.
