Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning

5 Reasons for Unfair Models | Proxy Variables, Unbalanced Samples & Negative Feedback Loops

Exploratory Fairness Analysis | Quantifying Unfairness in Data

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

Correcting Unfairness in Machine Learning | Pre-processing, In-processing, Post-processing

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