# Class meeting for 10-605 Probability Review

From Cohen Courses

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

## Contents |

### Slides

### Readings for the Class

- Optional: Mitchell 6.1-6.10

### Today's quiz

### 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