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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define a latent variable in your own words.
💡 Hint: Think about examples in psychology or recommendations.
Question 2
Easy
What is the equation that represents the relationship between latent and observed variables?
💡 Hint: Remember the format of a joint probability distribution.
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 is a generative model?
- A model that predicts unobservable variables.
- A model that defines data generation through latent variables.
- A model that strictly uses observed variables.
💡 Hint: Think about the role of hidden factors in observable data.
Question 2
True or False: Marginal likelihood requires integration or summation over latent variables.
- True
- False
💡 Hint: Recall the definitions given earlier in our discussion.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a dataset where you suspect hidden factors influence customer purchases in a store. How would you approach building a generative model to discover these factors?
💡 Hint: Think about what data you have and how latent variabilities may explain observable actions.
Question 2
Derive the marginal likelihood for a continuous variable in terms of latent variables. Explain the significance of each component in your equation.
💡 Hint: Remember, understanding how different latent distributions interact with your observed data is essential.
Challenge and get performance evaluation