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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does it mean for a model to have an infinite-dimensional parameter space?
π‘ Hint: Think about adaptability.
Question 2
Easy
Name one advantage of non-parametric models over parametric models.
π‘ Hint: Consider scenarios where we don't know the outcome.
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 best describes a non-parametric Bayesian model?
π‘ Hint: Remember the difference in adaptability.
Question 2
True or False: The Chinese Restaurant Process is a metaphor for clustering.
π‘ Hint: Consider how diners choose where to sit.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a simulated environment using a Dirichlet Process for a clustering task. Outline the steps taken to implement the model iteratively as data increases.
π‘ Hint: Consider how many clusters need to be defined at the start.
Question 2
Analyze a clustering dataset and determine how you would apply a Hierarchical Dirichlet Process. Discuss your approach and expected results.
π‘ Hint: Remember that HDP focuses on shared themes among groups.
Challenge and get performance evaluation