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Simulation and uncertainty analysis: Data Analytics course | Zoonk

18. Simulation and uncertainty analysis

Represent uncertain systems with random simulation, bootstrap methods, scenario models, and Monte Carlo analysis. Quantify ranges of possible outcomes instead of reporting a single fragile forecast.

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