Markov Chains: How Random Steps Predict Real-World Patterns
Markov Chains are powerful stochastic models that capture sequences of events where the next step depends only on the current state, not the full history. This memoryless property allows them to simplify and predict complex systems across nature and technology. From weather forecasts to financial markets, Markov Chains identify patterns emerging from local randomness. The
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