in the feature space is called a kernel function also referred to as kernel trick using a kernel function we can apply the dot product between two vectors so that every point is mapped into a high dimensional space via some transformation so essentially we use it to transform a non linear space into a linear space if you look at some popular kernel types here are some popular kernel types that you can use transform our data into high dimensional feature space there are polynomial kernel radial basis function RPF or RBF