Completion Certificate for Interpretable machine learning applications: Part 5

March 21, 2026

1 hours (approximately)

Satish Chaudhary's account is verified. Coursera certifies their successful completion of Interpretable machine learning applications: Part 5

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4,290 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.