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DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #138
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Question #138: Real Exam Question with Answer & Explanation
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Question
In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters and the normalizing constant usually ignored in MLEs because
Options
- AThe normalizing constant is always very close to 1
- BThe normalizing constant only has a small impact on the maximum likelihood
- CThe normalizing constant is often zero and can cause division by zero
- DThe normalizing constant doesn't impact the maximizing value
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