Conclusion

• Take Home Points:
  1. Binary classifiers are important.
  2. Many classifiers can be implemented by lines or hyper-planes.
  3. These can be learned.
  4. You can test your learning algorithm wtih an N-Fold test.
• Reading: For this lecture you can look at the Binary Classification wiki , and the Linear Classifier wiki .
• Reading for next week: read Russell and Norvig 18.1 through 18.3 (pp 704 - 718)