What is the difference between SVM and k-NN?

SVM is a model-based classifier while k-NN is instance-based learning.

SVM builds a global decision boundary during training, whereas k-NN stores all training data and classifies based on proximity at inference time. SVM is faster at prediction, while k-NN is slower but simpler.