Question 1 Cross-validation (CV) is useful in machine learning as a mechanism for model selection. O True O False Question 2 Within the context of regression, we use regularization as a way to "control" the complexity of the hypothesis class; hence regularization introduces our own bias into the learning problem. O True O False Question 3 21 One cannot use CV as a way to automatically select the penalization factor needed for regularization in the context of a regression problem. O True