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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is regularization?
💡 Hint: Think about how we keep our models from fitting noise.
Question 2
Easy
Why are fairness constraints important?
💡 Hint: Consider what happens if models reinforce societal biases.
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 the primary goal of regularization?
- To maximize accuracy
- To prevent overfitting
- To minimize bias
💡 Hint: Think about keeping the model simple.
Question 2
True or False: Fairness constraints are only necessary for models that make critical societal decisions.
- True
- False
💡 Hint: Consider the implications of bias in all applications.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
How would you implement regularization with fairness constraints in an AI system predicting loan approvals?
💡 Hint: Focus on how to balance model predictions fairly.
Question 2
Critically discuss the implications of ignoring fairness when deploying a machine learning model in healthcare.
💡 Hint: Consider the ethical responsibilities healthcare providers hold.
Challenge and get performance evaluation