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Stochastic Processes
/stəˈkæstɪk ˈprɒsɛsɪz/noun
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Stochastic processes are sequences of random variables that evolve over time, used to model systems where uncertainty plays a key role. They capture the unpredictable nature of real-world phenomena, from stock market fluctuations to particle movements in physics, and have become essential in modern data analysis for handling variability and making probabilistic forecasts.
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Stochastic processes power the PageRank algorithm used by Google, which revolutionized web searching by modeling the internet as a massive network of random walks, helping process over 8.5 billion searches per day and shaping how we access information globally.
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