what we discussed so far is also known as linear support vector machines or L SVM because the class are linearly separable but what happens if we have a dataset that is not linear separable so say we are presented with data that looks like this where it looks almost impossible to use a single line to separate the two classes we can use a function to transform our data into high dimensional space so you can see over here we go from one dimensional to two dimensional space we can apply a simple polynomial function to get a parabola and now you