No, the learning algorithm needs to learn. You as a dev should understand how learning algorithms operate. They cannot be perfect from the onset, and so mistakes are corrected. They aren't wringing their hands in delight when they have to fix the algorithm's slow learning curve.
Same question, same answer. The scientific process goes Hypothesis -> Theory. A Hypothesis is the supposition, a Theory is the explanation of something based on the observable data at hand. The things scientists use to describe replicable "fact".
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