#DataScience
There is usual #problem on how to apply #AI,#ML-engine to Data2, when it was trained on Data1.
The method is called #transformlearning and think of it like this:
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Trained engine is an operator, which maps Data1 to wanted Outcome: E1(Data1)=Outcome1
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If Data2 is "similar" to Data1 (think of it like "distance" within "similarity metrics"), then one can do E1(Data2)=Outcome2