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Figure 1.25 illustrates specific measures to forecast an event in the SB sense by utilizing ML methods.

On the other hand, the aim of optimization is to optimize long-lasting gains by proper decisions. Strengthening learning with these issues can be used. Many optimization issues may be treated as predicting issues such that benefit is estimated for different activities and the activity with the largest income is chosen. The most important form in optimization is decision-making. A variety of factors and compromises about the effects of specific environmental locations need to be addressed.