Completion Certificate for Interpretable machine learning applications: Part 5

April 27, 2026

1 hours (approximately)

Gabriel Alves Freitas's account is verified. Coursera certifies their successful completion of Interpretable machine learning applications: Part 5

4.6 (42 ratings)

4,462 already enrolled

What you will learn

Be acquainted with the basics of the Aequitas Tool as a tool to measure and detect bias in the outcome of a machine learning prediction model.
Learn more about a real world case study, i.e., predictions of recidivism (COMPAS dataset), and how the prediction model may have been biased.
Learn a technique, which is largely based on statistical descriptors, for measuring bias and fairness for Machine Learning (ML) prediction models.