Difference between revisions of "Class meeting for 10-405 Probability Review"
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=== Today's quiz === | === Today's quiz === | ||
| − | * [https://qna.cs.cmu.edu/#/pages/view/154] | + | * [https://qna.cs.cmu.edu/#/pages/view/154] - maybe best to do this after I finish the TFIDF material on Wed. |
=== Things to remember === | === Things to remember === | ||
Latest revision as of 14:27, 24 January 2018
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
