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Data Science

Interpretability is crucial for trusting AI and machine learning

Posted onDecember 2, 2018AuthorCharles Durfee

Author: Dan Clark

We explain what exactly interpretability is and why it is so important, focusing on its use for data scientists, end users and regulators.

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Posted in Data Science

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Tribes.ai: Sr Data Scientist [Remote, India / Eastern Europe]
A Gentle Introduction to Dropout for Regularizing Deep Neural Networks
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