Expectation Maximization (EM) - 1 - Theory
Автор: Meerkat Statistics
Загружено: 2021-08-23
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The EM algorithm is used to estimate model parameters when there are missing data, or latent variables. It overcomes the problem by using an iterative method to maximize the complete-likelihood (e.g., the likelihood of both the observed and unobserved data).
In this video I show the theory behind the algorithm.
Part 2: • Expectation Maximization (EM) - 2 - Exampl...
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Paypal me: https://paypal.me/MeerkatStatistics
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Intro/Outro Music: Dreamer - by Johny Grimes
• Johny Grimes - Dreamer
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