example now let's assume that instead of a classification problem we have a regression problem where instead of predicting if you're going to pass or fail to class you want to predict the final grade that you're going to get so now it's not a yes/no answer problem anymore but instead it's a what's the grade I'm going to get what's the number what so it's it's a full range of numbers that are possible now and now we might want to use a different type of loss for this different type of problem and in this case we can do what's called a mean squared error loss