Logistic Regression, Stochastic Gradient, Regularization.
with respect to b is the difference between the individual prediction and target values summed across all the points. b is a scalar so the derivative used to update b is also a scalar. Lets look at a simple example to grasp these concepts. made up dataset with sample predictions first prediction