Practice - Key Challenges
Practice Questions
Test your understanding with targeted questions
What does identifiability mean in causal analysis?
💡 Hint: Think about how true causes can be distinguished from mere correlations.
Why is labeled data important?
💡 Hint: Consider what a model needs to understand to make predictions.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main challenge relating to causal structure in data analysis?
💡 Hint: Recall what’s necessary to understand the ‘why’ behind data.
True or False: Domain generalization allows models to work well on unseen data.
💡 Hint: Think about the adaptability of models.
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Challenge Problems
Push your limits with advanced challenges
Design a hypothetical experiment to test for the identifiability of a causal relationship in a set of data suspected to have confounding variables.
💡 Hint: Recall how RCTs allow for isolating effects.
Propose a method to deal with limited labeled data in a target domain, explaining its advantages.
💡 Hint: Think about knowledge transfer between different subjects.
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Reference links
Supplementary resources to enhance your learning experience.