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Module 6: Advanced Topics

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In the E-step of EM, we primarily (i) Update model parameters (ii) Remove missing data (iii) Estimate the latent-variable responsibilities (iv) Calculate classification accuracy

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Answer: (iii) Estimate the latent-variable responsibilities

In the Expectation step, EM computes the expected latent-variable assignments/responsibilities using current parameters. The Maximization step then updates parameters to maximize the expected complete-data log-likelihood.

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