How does a Data Scientist's source of prediction refinement differ from a Simulation Engineer's?
Answer
Data Scientists rely on observed historical behavior, while Simulation Engineers rely on first-principles engineering.
Data Scientists use historical operational data to refine predictions via machine learning, whereas Simulation Engineers define the base behavior using established engineering principles applied mathematically.
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