Expectation–maximization algorithm

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Notion

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Science and technology

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What Wikipedia says

In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables.

Excerpt from the Wikipedia article “Expectation–maximization algorithm”, under the CC BY-SA 4.0 license. Read the article on Wikipedia

Image: Chire, CC BY-SA 3.0, via Wikimedia Commons.