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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a Bayesian Network represent?
💡 Hint: Think about what nodes and edges in a graph represent.
Question 2
Easy
Is a Bayesian Network a directed or undirected graph?
💡 Hint: Recall that the edges point in specific directions.
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 type of graph is used in Bayesian Networks?
- Directed Acyclic Graph (DAG)
- Undirected Graph
- Cyclic Graph
💡 Hint: Remember, it's all about directionality and cycles.
Question 2
In Bayesian Networks, a node is conditionally independent of its non-descendants given its:
💡 Hint: Think about how nodes relate to each other in the graph.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a simple Bayesian Network for predicting the likelihood of rain based on humidity and temperature. Explain your node choices.
💡 Hint: Focus on the factors that directly influence the outcome you're predicting.
Question 2
Discuss the limitations of Bayesian Networks in representing real-world scenarios. Provide an example where they might struggle.
💡 Hint: Consider cases where many variables interact with each other simultaneously.
Challenge and get performance evaluation