article-information-2019
ML framework
A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications.
Article for Special Edition of Information: Machine Learning with Python
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Language: Jupyter Notebook
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data-scienceexplainable-aiexplainable-mlfairness-aifairness-mlfairness-testingfatmlimlinterpretable-aiinterpretable-machine-learninginterpretable-mlmachine-learningmachine-learning-interpretabilitypythonxai
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