It’s goal(objective) is perform Optimization of Machine Learning Models by minimizing or maximizing the result of an evaluation function. Objective functions describe the error in a prediction by measuring the difference between the predicted value and the expected value.

Types of Objective Function:

- Loss Functions (
) computes the error for a single training example. - Cost Function (
) computes the error for entire training examples. I.e. aggregates all the loss values.

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