Machine Learning, Support Vector Machine, Support Vector Classifier, Data Scie, Svm.
called “landmark”) and an observation x, multiply it by −γ and take the exponent of it. Landmark is calculated by the algorithm and gamma is a hyperparameter (we will tune it later), so do not worry about them now. Using several kernels like this is way simpler for the computer and yet gives