Probabilistic models are mathematical frameworks used to represent and analyze uncertain systems or phenomena. Unlike deterministic models, which produce the same output given a specific input, probabilistic models incorporate randomness and allow for variability in outcomes. This is useful for capturing the inherent uncertainty in real-world situations. Key features of probabilistic models include: 1. **Random Variables**: These are variables whose values are determined by chance.
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