Data, Data Science, Machine Learning, Mathematics, Gradient Descent.
step procedure Initialize the wights and intercept to zero. Use current model to make prediction. Calculate Error(Cost) from the prediction. Update the weights according to the Error. Repeat steps 2 to 4 untill a statisfactory result is reached. With 2 major problems that we need to keep in mind