Practice What is Domain Adaptation? - 10.4.1 | 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

What is Domain Adaptation?

πŸ’‘ Hint: Think about what happens if the training and testing data are different.

Question 2

Easy

Name a type of shift that occurs in Domain Adaptation.

πŸ’‘ Hint: Try to recall the different types of shifts we've discussed.

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?

  • Adjusting models to fit new distributions
  • Only working with labeled data
  • Avoiding data shifts

πŸ’‘ Hint: Focus on why we need domain adaptation.

Question 2

True or False: Covariate shift refers to changes in the underlying concept of the data.

  • True
  • False

πŸ’‘ Hint: Recall the definitions of different types of shifts.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a scenario where covariate shift occurs in a healthcare application, and explain the measures that could be taken to address it.

πŸ’‘ Hint: Consider the effects of different patient populations and their demographics.

Question 2

Discuss the potential implications of label shift in a model that predicts customer churn based on past data, and how you might detect this shift.

πŸ’‘ Hint: Think about how changes in business policies might affect churn rates.

Challenge and get performance evaluation