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SVM

SVM its still a linear model. but the model isnt linear with respect to the inputs x, instead its linear with respect to some transformation T of x. I think this transformation is the kernel???(not sure) i.e the svm models:

\[prediction = \sum_{i}^{n}\theta_{i} T(x)\]