Working with probabilistic results

As alluded to at the beginning of this chapter and seen firsthand in the previous section, working with machine learning models requires a set of new techniques and strategies to deal with uncertainty. The approach taken will be domain-specific, but there are some broad strategies that are worth keeping in mind, and that's what we will cover in this section in the context of the example project of this chapter. 

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