Homework due Mar $8,202318$: $59+07$ In this question, we will practice kernel methods in classification. $3.($a$)1$ point possible $($graded$)$ Let x$,$ q in $^2$ be two feature vectors, and let K$($x$,$ q$)=($x$^$T q$+1)^2.$ This is often known as a polynomial kernel. It's simple to compute: you just take the dot product between two feature vectors, add one, and then square the result. But what kind of feature mapping does this kernel implicitly use? Assuming we can write K$($x$,$ q$)=($x$)^$T$($q$),$ derive an expression for $($x$).$ Enter the solution as a vector $($x$)=[$f$\_1($x$\_1,$ x$\_2),,$ f$\_$N$($x$\_1,$ x$\_2)].($x$)=$ You have used $0$ of $3$ attempts