Midterm reviewFall 2010Topics we covered: Basics1. probability 2. density estimationTopics we covered: Supervised learning3. knn4. Naive Bayes5. linear regression 6. logistic regression 7. learning theory 8. boosting 9. Decision trees 10. Neural networks 11. SVMsTopics we covered: Unsupervised learning12. Hierarchical clustering 13. k-means and Gaussian mixtures 14. model / feature
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