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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does M in M-step stand for?
💡 Hint: Think about what we do in this step.
Question 2
Easy
What is one key purpose of the M-step?
💡 Hint: What does this step improve in the EM algorithm?
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 does the M-step aim to achieve?
- Maximize the expected log-likelihood
- Estimate missing data
- Select the number of components
💡 Hint: Think about the primary action in this step.
Question 2
The M-step can lead to local maxima. True or False?
- True
- False
💡 Hint: Consider what local maxima means in the context of optimization.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a detailed explanation of how the EM algorithm uses the M-step for clustering in GMMs.
💡 Hint: Consider how the estimated responsibilities guide parameter updates.
Question 2
Discuss the significance of running EM from multiple starting points and its effect on the M-step outcomes.
💡 Hint: Link back to the limitations discussed about local maxima in the M-step.
Challenge and get performance evaluation