Lecture 4: $k$-nearest neighbours and SVM RBFs

A high-level introduction to KNNs and SVM RBFs

Slides

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Outline

• Recap
• Similarity-based algorithms
• $k$-nearest neighbours intuitions
• Curse of dimensionality
• SVM with RBF kernel intuition
• Interpretation of C and gamma hyperparameters of SVM RBF