Logistic Regression, Stochastic Gradient, Regularization.
look at the gradient of the Loss w.r.t w and b. Here, we use all the points n to get the gradients for the weights that are then used to update wj’s. At each iteration we will pass through all points to get our respective gradients. This process is known as Gradient Descent. There is one major