Exploring Aa 19 20 Lecture 6
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- Hierarchical Clustering. Agglomerative and Divisive Clustering.
In-Depth Information on Aa 19 20 Lecture 6
Lazy learning. K-NN. Kernel regression and kernel density estimation. 6-19-20 lecture (corrected) Classification. Linear separability and discriminants. Logistic Regression. Using linear classifiers in higher dimensions. Multiclass classification. Bootstrapping. Bias-variance decomposition and tradeoff.
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