Logistic Regression, Stochastic Gradient, Regularization.
to w is the difference between the individual prediction and target values multiplied by the individual datapoint xi summed across all points. Each point xi is of d-dimensions where d is the total number of columns. The difference between the prediction and target value is a scalar whereas xi is a