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Probability distributions are essential in computer science for modeling uncertainty and making predictions in various applications. They are used in machine learning algorithms to optimize models, such as in Bayesian inference, where prior distributions inform posterior probabilities. Additionally, probability distributions are critical in simulations and risk assessment, enabling the analysis of complex systems by predicting outcomes based on random variables. They also play a role in data analysis, helping to understand patterns and behaviors in datasets.

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