Machine Learning, Svm, Loss Function, Data Science.
term (L2 norm) to the cost. The intuition behind the regularization term is that we increase the cost penalty if the values for the weights are high. So while trying to minimize the cost, we not only adjust the weights, we also try to minimize the value of the weights and thereby reduce over