Practice Understanding Causality in Machine Learning - 10.1 | 10. Causality & Domain Adaptation | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define correlation.

πŸ’‘ Hint: Think about how changes in one variable might relate to changes in another.

Question 2

Easy

What is a causal relationship?

πŸ’‘ Hint: This is different from just observing two events occurring together.

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 indicates a causal relationship between two variables?

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

πŸ’‘ Hint: Think about how scientists often test hypotheses.

Question 2

True or False: Correlation implies causation.

  • True
  • False

πŸ’‘ Hint: Recall the ice cream versus drowning example.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Think about a method to isolate the variable of interest.

Question 2

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

πŸ’‘ Hint: Consider the interactions between these variables.

Challenge and get performance evaluation