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
FairPy: A Python Library for Machine Learning Fairness
Machine Learning Fairness: Maximizing Accuracy under Fairness Constraints (C-LR and C-SVM) and Information Theoretic Measures for Fairness-Aware Feature selection (FFS)
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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