Lecture 20: Research in Bias and fairness in ML

Lecture 20: Research in Bias and fairness in ML#

Learning objectives#

  • Understand what are differen types of transfer learning

  • How to measure fairness in the context of predictive models in education

  • Analyze the trade-off between fairness and performance in ML/AI

Slides#

Note

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Contents