AI Engineering Degree 2025 – 400 Free Practice Questions to Pass the Exam

Question: 1 / 400

Which of the following accurately reflects the outcome of marginalization?

A distinct summary of all possible parameter values

The likelihood of observing specific data given all parameters

A focused view on particular variables of interest

The outcome of marginalization in the context of probability and statistics is best reflected by a comprehensive view across all model parameters. Marginalization involves summing or integrating out certain variables to focus on the distribution of interest, which allows for a holistic understanding of how the chosen variables interact without conditioning on all other variables.

This approach enables an analysis that encompasses all potential values of the excluded parameters, thereby offering insights that are not constrained to a limited perspective. By considering the behavior and contributions of all model parameters, you can gain a more thorough overall picture of the distributions involved.

The option indicating a focused view on particular variables of interest does not accurately represent marginalization. Instead, marginalization seeks to provide clarity across the entire model rather than limiting the scope to specific variables.

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A comprehensive view across all model parameters

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