Definition: You are given a question on machine learning. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: For the one-parameter model, mean-Square error (MSE) is defined as follows: 1/(2N) \sum (y_n − β_0)^2 . We have a half term in the front because,
(A)scaling MSE by half makes gradient descent converge faster. (B)presence of half makes it easy to do grid search.  (C)it does not matter whether half is there or not.  (D)none of the above
