data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
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Updated
Jul 19, 2020 - Jupyter Notebook
data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
The fast.ai data ethics course
Pruebas de detección de sesgos en modelos de machine learning
Machine Learning Fairness: Maximizing Accuracy under Fairness Constraints (C-LR and C-SVM) and Information Theoretic Measures for Fairness-Aware Feature selection (FFS)
FairPy: A Python Library for Machine Learning Fairness
Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.
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