3. Support Vector Machines (a) Show how you can re-write the model w... (x) = sgn {u} + (x) w} so that the feature transform of the inputs, 6(x), never has to be explicitly computed. That is, show how you can go from the expression above to the one given in the slides. Explain why you need to do this to use the "kernelized" version of SVMs, and what role plays in the efficiency of this computation. 3. Support Vector Machines (a) Show how you can re-write the model w... (x) = sgn {u} + (x) w} so that the feature transform of the inputs, 6(x), never has to be explicitly computed. That is, show how you can go from the expression above to the one given in the slides. Explain why you need to do this to use the "kernelized" version of SVMs, and what role plays in the efficiency of this computation