Practice - Causality & Domain Adaptation
Practice Questions
Test your understanding with targeted questions
What is the difference between correlation and causation?
💡 Hint: Consider if one variable influences the outcome of another.
What do DAGs stand for?
💡 Hint: Think about the type of graph that limits circular relationships.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main distinction between correlation and causation?
💡 Hint: Think about examples where two things occur together but might not impact each other.
True or False: Directed Acyclic Graphs can have cycles.
💡 Hint: Consider the definition of 'acyclic'.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a dataset where increased sugary drink consumption correlates with higher diabetes rates. Assess whether this indicates causation or mere correlation and justify your reasoning.
💡 Hint: Think of other lifestyle factors that could interplay with consumption.
You are studying a health-related dataset that contains variables of age, weight, and daily exercise along with diabetes occurrence. How might you apply causal inference methods to estimate the effect of exercise on diabetes risk, considering potential confounders?
💡 Hint: Consider how you would control for confounding variables in your analysis.
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Reference links
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