Practice - Pre-processing Strategies (Data-Level Interventions)
Practice Questions
Test your understanding with targeted questions
What is bias in the context of machine learning?
💡 Hint: Think about how data might reflect past inequalities.
Define re-sampling in one sentence.
💡 Hint: How do we balance contributions from different groups?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does re-sampling aim to achieve in machine learning?
💡 Hint: Consider how unbalanced data affects model predictions.
True or False: Re-weighing assigns equal importance to all samples in a dataset.
💡 Hint: What does it mean to prioritize certain samples?
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Challenge Problems
Push your limits with advanced challenges
Create a questionnaire to assess bias in a dataset used for hiring. What aspects will you analyze?
💡 Hint: Think about what categories of bias could impact hiring.
Design a scenario where re-sampling could fail and lead to worse outcomes. Describe how to avoid this in practice.
💡 Hint: Consider negative outcomes from one-sided approaches.
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Reference links
Supplementary resources to enhance your learning experience.