Class meeting for 10-405 Probability Review

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This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-405 in Spring 2018.

Slides

Readings for the Class

  • Optional: Mitchell 6.1-6.10

Today's quiz

  • [1] - maybe best to do this after I finish the TFIDF material on Wed.

Things to remember

  • The joint probability distribution
  • Brute-force estimation of a joint distribution
  • Density estimation and how it can be used for classification
  • Naive Bayes and the conditional independence assumption
  • Asymptotic complexity of naive Bayes
  • What are streaming machine learning algorithms: ML algorithms that never load in the data
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