4: Gradient Descent (SEng 474: 20 points; CSc 578D: 20 points) We have a new dataset where the input data has 2 continuous variables (x, and x2), and the task is to predict a continuous value as the output y (i.e. regression). We have reasorn to believe the following new model for regression is a better fit to the problem domain: 4 A) Write down the error function for this model. You should use the sum of squared error, as in class: [5 marks] (X) i-1 B) Derive the gradient descent update for wo using learning rate K [5 marks] C) Derive the gradient descent update for w, using learning rate K[5 marks] D) Derive the gradient descent update for w2using learning rate K[5 marks]