Introduction - If you have any usage issues, please Google them yourself
is something that has similar roots with neural networks. But recently it has been widely used in Classification. That means, if I have some sets of things classified (But you know nothing about HOW I CLASSIFIED THEM, or say you don t know the rules used for classification), when a new data comes, SVM can PREDICT which set it should belong to.