Class meeting for 10-405 Probability Review
From Cohen Courses
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
