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Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

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A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models
  • Learn how to extract easy-to-understand insights from any machine learning model
  • Become well-versed with interpretability techniques to build fairer, safer, and more reliable models
  • Mitigate risks in AI systems before they have broader implications by learning how to debug black-box...