Loss Functions
The choice of loss function is a determining factor on the function that will be chosen by the learning algorithm. The loss function also affects the convergence rate for an algorithm. It is important for the loss function to be convex.
Different loss functions are used depending on whether the problem is one of regression or one of classification.
Read more about this topic: Statistical Learning Theory
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