ph_
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awesome-machine-learning-interpretability
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A curated list of awesome responsible machine learning resources.
diabetes_use_case
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Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
GWU_data_mining
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Materials for GWU DNSC 6279 and DNSC 6290.
hc_ml
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Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
interpretable_machine_learning_with_python
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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
responsible_xai
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Guidelines for the responsible use of explainable AI and machine learning.
xai_misconceptions
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Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!