(c) Two different ways of learning the parameters are brute force search and gradient descent. Describe how each works, and briefly discuss any potential issues. Include a sketch illustrating how gradient descent works for a quadratic error function. (8 marks) (d) Is it in general possible to use exhaustive search to find the optimal parameters in a parametric algorithm? Justify your answer. Would it be feasible, in this particular case, to search only sensible solutions? If so, how many values need to be evaluated? (7 marks)