Interpretable machine learning applications: Part 5
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In diesem angeleitetes Projekt werden Sie:
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.
1.5 hours
Anfänger
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Video auf geteiltem Bildschirm
Englisch
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