A probability vector is a list of non-negative numbers summing to one, representing the likelihood of each outcome in a discrete system. Used extensively in machine learning, quantum mechanics, and Markov chains, it models uncertainty and transitions. Data scientists, statisticians, and engineers benefit from its ability to simplify complex probabilistic predictions into actionable insights for decision-making.
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