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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is marginal likelihood?
π‘ Hint: Consider what 'marginal' implies in statistics.
Question 2
Easy
Why do we encounter intractable integrals in latent variable models?
π‘ Hint: Think about complexity in high-dimensional spaces.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is marginal likelihood in latent variable models?
π‘ Hint: Think about what happens to the observed data.
Question 2
True or False: Approximate inference methods aim to provide exact probabilities.
π‘ Hint: Reflect on the complexities discussed.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset with various hidden traits, outline how you would estimate the marginal likelihood without direct computation.
π‘ Hint: Focus on the strategy of approximating distributions.
Question 2
Design an experiment where you apply approximate inference methods to a real-world problem. Describe the problem and your method.
π‘ Hint: Think about data that exhibits latent structures.
Challenge and get performance evaluation