Practice Understanding Causality In Machine Learning (10.1) - Causality & Domain Adaptation
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Understanding Causality in Machine Learning

Practice - Understanding Causality in Machine Learning

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define correlation.

💡 Hint: Think about how changes in one variable might relate to changes in another.

Question 2 Easy

What is a causal relationship?

💡 Hint: This is different from just observing two events occurring together.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What indicates a causal relationship between two variables?

A. Consistent correlation
B. Experimental evidence
C. Random association

💡 Hint: Think about how scientists often test hypotheses.

Question 2

True or False: Correlation implies causation.

True
False

💡 Hint: Recall the ice cream versus drowning example.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a study showing a correlation between hours spent studying and exam scores. How would you determine if studying actually causes better scores?

💡 Hint: Think about a method to isolate the variable of interest.

Challenge 2 Hard

Using a DAG, design a model to demonstrate the causal relationship between diet, exercise, and weight loss, including potential confounders.

💡 Hint: Consider the interactions between these variables.

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Reference links

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