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.
The techniques and tools covered in Artificial Intelligence Data Fairness and Bias are most similar to the requirements found in Data Scientist job advertisements.
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