(Machine Learning) Serious answer only please, better with explanation, thanks !

Please derive the gradient of the log likelihood function in logistic regression model with respect to w, which is a vector and the model parameter. The log likelihood function is as Tollows 7d L1(w) =ywTxi-log(1 + exp(wr%)) where (x, yi) is an example with x, being the predicators and y being the label. n is the total number of examples