Lecture 4: \(k\)-nearest neighbours and SVM RBFs
A high-level introduction to KNNs and SVM RBFs
Slides
Outline
- Recap
- Similarity-based algorithms
- \(k\)-nearest neighbours intuitions
- Curse of dimensionality
- SVM with RBF kernel intuition
- Interpretation of
Candgammahyperparameters of SVM RBF