Practice Dirichlet Process (dp) (8.2) - Non-Parametric Bayesian Methods
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Dirichlet Process (DP)

Practice - Dirichlet Process (DP)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define a Dirichlet Process in your own words.

💡 Hint: Think about how it adapts to new data.

Question 2 Easy

What does the concentration parameter (α) in a Dirichlet Process influence?

💡 Hint: Consider the effect of changing α on cluster count.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the formula G ~ DP(α, G0) represent?

A fixed number of parameters
An infinite mixture of distributions
A deterministic model

💡 Hint: Remember what non-parametric means in this context.

Question 2

True or False: The Dirichlet Process can adapt the number of clusters as more data is observed.

True
False

💡 Hint: Consider how different clustering might work with more data.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Suppose you have a dataset of animal features. How would you apply a Dirichlet Process for classification without prior knowledge of species numbers?

💡 Hint: Consider how mixing behavior could illustrate your clusters.

Challenge 2 Hard

Critique the usage of a Dirichlet Process in the context of social media data classification. What challenges might arise?

💡 Hint: Think about processing and determining meaningful clusters in streaming data.

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Reference links

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