Class meeting for 10-605 Probability Review

This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall 2017.

Slides

• Slides in Powerpoint
• Slides in PDF

Readings for the Class

• Optional: Mitchell 6.1-6.10

Today's quiz

• [1]

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