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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does conditional independence mean?
💡 Hint: Think about how knowledge of C could influence A and B.
Question 2
Easy
Explain how conditional independence relates to Bayesian networks.
💡 Hint: Think about how knowing one variable can make others irrelevant.
Practice 1 more question and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does A ⊥ B | C signify?
- A and B are dependent
- A and B are independent given C
- C is unrelated to A and B
💡 Hint: Focus on the meaning of conditional independence.
Question 2
True or False: d-Separation can help identify conditional independence in Bayesian networks.
- True
- False
💡 Hint: Recall what d-Separation checks in graphical models.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
In a network of symptoms and diseases, if Disease A causes Symptom X and Symptom Y, how would you determine if Symptom X and Symptom Y are conditionally independent given Disease A?
💡 Hint: Consider the chain of causation.
Question 2
Construct a scenario with three random variables where two of them are conditionally independent given a third. Illustrate this with a diagram.
💡 Hint: Visualize the relationships clearly to spot dependencies.
Challenge and get performance evaluation