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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define bias in the context of machine learning.
💡 Hint: Think about how bias might affect outcomes for specific groups.
Question 2
Easy
What is Explainable AI (XAI)?
💡 Hint: What is the primary goal of XAI?
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 concern of bias in machine learning?
- Predictive accuracy
- Fairness
- Computational efficiency
💡 Hint: Consider what bias impacts the most.
Question 2
True or False: Fairness metrics assess only the overall accuracy of a model.
- True
- False
💡 Hint: Remember, fairness involves looking beyond averages.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with developing a hiring model. Detail how you would approach ensuring fairness from data collection to model deployment.
💡 Hint: Consider the steps in the ML process where bias can arise and how you can address them.
Question 2
Analyze the ethical implications if an AI system used in justice disproportionately impacts minority communities.
💡 Hint: Think about the societal impacts of biased AI systems.
Challenge and get performance evaluation