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Uncertainty, Probability & Markov Chains, Represents all possible…
Uncertainty, Probability & Markov Chains
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Planning for unexpected events, like flight delays or traffic jams.
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Sample space, events, and probability functions.
Conditional probability (P(AB)), intersections (P(A∩B)), complements (P(A′)).
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Used in stock markets, genetics, speech recognition.
Used in NLP, DNA sequencing, and AI-based recommendations.
Used in physics simulations, forecasting models, and AI training.
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Weather forecasting, finance, biological systems
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