(b) Suppose we accidentally write J() = (Y X) T(Y X) + Y TY instead.Explain briefly what happens with this form of regularization.

Question 1. ( 20 pts.) Given a training set with m examples, the standard form of the regularized loss function for linear regression is J()=2m1[i=1m(h(x(i))y(i))2+j=1nj2] Also, consider the following loss function which is in canonical form J()=(YX)T(YX)+T where features are represented as a matrix X (each row is an example and each column is an individual feature) and true target values are represented as a column vector Y