Practice Conditional Independence and d-Separation - 4.3 | 4. Graphical Models & Probabilistic Inference | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define conditional independence.

πŸ’‘ Hint: Think about when knowing something about one variable gives no information about the other.

Question 2

Easy

What does d-Separation help to identify?

πŸ’‘ Hint: Recall what it means to block paths in a graph.

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 denotes conditional independence between A and B given C?

  • A βŠ₯ B
  • A βŠ₯ B | C
  • A βŠ₯ C | B

πŸ’‘ Hint: Remember how conditioning influences independence.

Question 2

True or False: A collider blocks the path between two variables.

  • True
  • False

πŸ’‘ Hint: Think about how colliders affect the flow of information.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a graphical model with variables A, B, C, and D. Demonstrate the conditional independence between A and B given C, including an explanation of your reasoning.

πŸ’‘ Hint: Visual aids can clarify relationships.

Question 2

Suppose you have a Bayesian network illustrating a patient’s recovery based on various symptoms. Discuss the d-Separation implications when a symptom is conditioned upon.

πŸ’‘ Hint: Focus on how conditioning effectively isolates the relevant symptoms.

Challenge and get performance evaluation