# Class meeting for 10-405 Probability Review

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Jump to navigationJump to searchThis 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