Introduction to Aa 17 18 Lecture 5
Exploring Aa 17 18 Lecture 5 reveals several interesting facts. Scoring classifiers. Cross-validation. Overfitting, model selection and regularization with logistic regression.
Aa 17 18 Lecture 5 Comprehensive Overview
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Summary & Highlights for Aa 17 18 Lecture 5
- Classification. Linear separability and discriminants. Logistic Regression. Using linear classifiers in higher dimensions.
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- Lazy learning. K-NN. Kernel regression and kernel density estimation.
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