Logistic Regression, Stochastic Gradient, Regularization.
d represents the total no of columns. w has the same dimensions as xi as for each column we have a corresponding weight, and bias is a single scalar value that is added to the dot product (multiplication and summation) of the weights with the corresponding xi’s. What we can do is modify the weight