Practice - Core Concept - 2.1.1
Practice Questions
Test your understanding with targeted questions
What does bias in machine learning refer to?
💡 Hint: Think about how outcomes might favor one group over another.
Name one fairness metric.
💡 Hint: Consider measures that assess equality across groups.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the definition of bias in machine learning?
💡 Hint: Focus on what bias implies in terms of fairness.
True or False: Accountability in AI is only relevant when models are transparent.
💡 Hint: Think about responsibility in various scenarios.
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Challenge Problems
Push your limits with advanced challenges
In a lending application, identify three potential sources of bias and propose mitigation strategies for each.
💡 Hint: Consider the entire process from data collection to performance assessment.
As a data scientist, how would you address the feedback loop in a predictive policing model that disproportionately targets minority communities?
💡 Hint: Focus on both immediate actions and long-term strategies for fairness.
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Reference links
Supplementary resources to enhance your learning experience.