geometric distribution - Learn Data Science with Travis

geometric-distribution

The geometric distribution is a probability distribution that models the number of trials needed to achieve the first success in a series of independent Bernoulli trials, where each trial has two possible outcomes: success or failure. It is characterized by a constant probability of success on each trial. This distribution is widely applicable in various fields, including finance, sports, and quality control, as it helps in understanding scenarios where one is interested in the timing of the first occurrence of an event. The geometric distribution is defined by its probability mass function, which provides the likelihood of achieving the first success on a specific trial.

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Towards Data Science

A simple description and uses of the Geometric distribution Continue reading on Towards Data Science

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Towards Data Science

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Towards Data Science

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Distributions

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Machine Learning Mastery

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Towards Data Science

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Towards Data Science

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Towards Data Science

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Towards Data Science

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