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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Gaussian Mixture Model?
💡 Hint: Think about how different groups can be represented as overlapping.
Question 2
Easy
Define soft clustering.
💡 Hint: Consider how a point can have a stronger affiliation to one cluster over another.
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 Gaussian Mixture Model (GMM)?
- A single Gaussian distribution
- A probabilistic model with multiple Gaussian components
- A linear regression model
💡 Hint: Consider the essence of mixture models.
Question 2
True or False: GMMs can model soft clustering.
- True
- False
💡 Hint: Think about how points can have probabilistic memberships to clusters.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with three distinct but overlapping clusters, describe how you would apply a GMM and the steps you would take.
💡 Hint: Consider how each step builds on the last to refine your clusters.
Question 2
Discuss the limitations of GMMs in practical applications. What scenarios can lead to poor performance?
💡 Hint: Think about the assumptions we make when fitting models to real-world data.
Challenge and get performance evaluation