Unit 10 Learning Outcomes
Completion requirements
Upon successful completion of this unit, you will be able to:
[1] discuss ethical considerations in ML, including bias and fairness; [2] apply basic techniques to detect and mitigate bias in ML models, such as fairness metrics and simple mitigation methods like balanced datasets and re-weighting data