Skills you'll gain

There are 3 modules in this course

In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.

Building fair models: theory and practice

Human factors: minimizing bias in data

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