10-601 Naive Bayes

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

Slides and Other Materials

Readings

What You Should Know Afterward

  • What conditional independence means
  • How to implement the multinomial Naive Bayes algorithm
  • How to interpret the predictions made by the NB algorithm