Machine Learning, Svm, Loss Function, Data Science.
only the first term ( ||w² ||/2 ) on every iteration to arrive at the adjusted weights. If C is chosen sufficiently large, the second term cannot be ignored and we arrive at soft margin classifier. In the next part we will look at what exactly causes SVM hyper-plane to distance itself (aka.,