In which cases is the cross-entropy preferred over the mean squared error? [closed]

Answer 1

When you derive the cost function from the aspect of probability and distribution, you can observe that MSE happens when you assume the error follows Normal Distribution and cross entropy when you assume binomial distribution. It means that implicitly when you use MSE, you are doing regression (estimation) and when you use CE, you are doing classification. Hope it helps a little bit.