 However, the opposite perspective would be valid, too.Problems formulated using this technique in the fields of physics may refer to the technique as "energy minimization", speaking of the value of the function as representing the energy of the system being modeled.In machine learning, it is always necessary to continuously evaluate the quality of a data model by using a cost function where a minimum implies a set of possibly optimal parameters with an optimal (lowest) error.