Practice Introduction to Domain Adaptation - 10.4 | 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

What is domain adaptation?

πŸ’‘ Hint: Think about how models respond to new data.

Question 2

Easy

Name one type of domain adaptation.

πŸ’‘ Hint: Consider types where we have labels.

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 is domain adaptation designed to address?

  • Improving model interpretability
  • Adapting to new data distributions
  • Reducing training time

πŸ’‘ Hint: Consider why we adapt models.

Question 2

True or False: Label shift involves changes in the input data distribution.

  • True
  • False

πŸ’‘ Hint: Think about which aspects change between domains.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a scenario where a self-driving car is trained in one city. How would domain adaptation be beneficial if the car were deployed in a different city?

πŸ’‘ Hint: Think about the various elements of driving experiences and how adapting to those is critical.

Question 2

Suppose a healthcare model trained on data from a specific demographic performs poorly in a different demographic. How would you approach this using domain adaptation techniques?

πŸ’‘ Hint: Remember to look into the differences in conditions and data distributions.

Challenge and get performance evaluation