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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary advantage of non-parametric Bayesian methods in clustering?
π‘ Hint: Think about the flexibility in model complexity.
Question 2
Easy
What does HDP stand for in the context of topic modeling?
π‘ Hint: Focus on the hierarchical aspect.
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 the primary function of non-parametric Bayesian methods?
π‘ Hint: Think about flexibility in model application.
Question 2
True or False: Non-parametric Bayesian methods always require a large amount of data to be effective.
π‘ Hint: Consider different contexts of data size.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Consider a use case where you have a dataset of customer purchases over a year. Design a non-parametric Bayesian model that could help identify changing purchasing patterns without losing flexibility.
π‘ Hint: Think about the seasonal aspect and how clusters might evolve.
Question 2
Reflect on the implications of using a non-parametric approach in healthcare analytics, especially for patient treatment pathways. What risks could arise from its flexibility?
π‘ Hint: Consider the balance between flexibility and the risk of overfitting.
Challenge and get performance evaluation