Support Vector Machines (page 5 of 10)

SVMs may be used with linear and non-linear data. Linearly separable data use a linear kernel and we refer to this a linear SVM. For non-linearly separable data, we use a kernelized SVM. We can specify different kernels to transform the data into two dimensions, which then become linearly separable.