10-601 Perceptrons and Voted Perceptrons

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This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016



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.