Problem 2 Write a naive implementation (i.e. non-vectorized) of matrix multiplication, and then write an efficient implementation that utilizes Numpy's vectorization. When writing the function ensure that the matrix dimensions are correct (print the message Wrong dimensions! otherwise). [ ]: def naive_matmult(a, b): ""Multiply two matrices without vectorization." # YOUR CODE HERE raise NotImplementedError() [ ]: a = np. random. randn(3, 4) b = np.random.randn(4, 5) assert_almost_equal(naive_matmult(a, b). sum(), np.dot(a, b). sum()) [ ]: def vec_matmult(a, b): ""Multiply two matrices with vectorization." # YOUR CODE HERE raise NotImplementedError() [ ]: assert_almost_equal(vec_matmult(a, b). sum(), np. dot(a, b). sum())