For this problem, assume that we are training an SVM with a) linear kernel and b) quadratic kernel (i.e., our kernel function is a polynomial kernel of degree 2). You are given the data set presented in Figure 1. The slack penalty C will determine the location of the separating hyperplane. Please answer the following questions for both linear kernel and quadratic kernel. Give a one sentence answer/justification for each and draw your solution in the appropriate part of the Figure at the end of the problem. Where would the decision boundary be for very large values of C (i.e., C rightarrow infinity)? Draw on the figure above. Justify your