Practice Types Of Graphical Models (4.2) - Graphical Models & Probabilistic Inference
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Types of Graphical Models

Practice - Types of Graphical Models

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What type of graph is used in Bayesian Networks?

💡 Hint: Consider the direction of the edges.

Question 2 Easy

What kind of models are Markov Random Fields?

💡 Hint: Think about how the dependencies are represented.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What structure does a Bayesian Network use?

Directed Acyclic Graphs
Undirected Graphs
Bipartite Graphs

💡 Hint: Focus on the direction of the relationships.

Question 2

Markov Random Fields express relationships in terms of what?

💡 Hint: Think about fully connected groups.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a realistic example where a Bayesian Network could help in decision-making. Describe your nodes and dependencies.

💡 Hint: Think about causal relationships in health.

Challenge 2 Hard

Illustrate a scenario where MRFs might be inefficient compared to factor graphs, providing reasoning for your conclusion.

💡 Hint: Consider complexity in relationships.

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Reference links

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