Navigating Uncertainty: Probabilistic Programming

Navigating Uncertainty: Probabilistic Programming


This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.



Explainer

The world is uncertain. Predicting outcomes with data involves probabilistic models which use math to handle uncertainty. Probabilistic Programming describe and analyze these models. Examples: Predicting weather, stocks, diagnoses, and machine learning.

Cover Image Credits: GenewalDesign



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By stp2y

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