Logistic Regression, Stochastic Gradient, Regularization.
then the left side of the equation will get to 0 and the right side will be a very large value. Similarly, if the regularization parameter λ is set too high then w’s will be very small to minimize the overall loss. Thus now its a tradeoff that allows us to control the values of w’s while minimizing