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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is marginal likelihood?
💡 Hint: Think about how it relates to latent variables.
Question 2
Easy
Why is marginal likelihood important in model selection?
💡 Hint: Consider how models are compared.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does marginal likelihood represent in a generative model?
- The chance of observing latent data
- The probability of observed data
- The expected value of latent variables
💡 Hint: Remember what it encapsulates in terms of observations.
Question 2
Is it true that we can easily compute marginal likelihood in all cases?
- True
- False
💡 Hint: Think about the complexity of high-dimensional data.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Explain how you would approach a situation where you are unable to compute marginal likelihood directly due to high-dimensional data. What strategies would you consider?
💡 Hint: Consider the significance of simplifying interactions in large datasets.
Question 2
Consider a case study in which two different models give different marginal likelihoods for the same dataset. Discuss how you would determine which model is superior and justify your reasoning.
💡 Hint: Reflect on what higher marginal likelihood implies about a model's performance.
Challenge and get performance evaluation