Exploring Aa 19 20 Lecture 7
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In-Depth Information on Aa 19 20 Lecture 7
Generative models: naive bayes, bayes. Comparing classifiers. Constitution 101, Lecture 7 This is the Introduction to clustering. K-means and k-medoids. Expectation maximization.
Classification. Linear separability and discriminants. Logistic Regression. Using linear classifiers in higher dimensions.
That wraps up our extensive overview of Aa 19 20 Lecture 7.
