Linear Models, Data, Artificial Intelligence, Machine Learning.
works well when it has non-linear features e.g. polynomial features like x². The more technical details of how this is achieved and the various kernels available in SVMs will be covered in another blog. So now you know SVMs can do both linear and non-linear classification, but they actually can