Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more's Cover Image
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Applied Machine Learning Explainability Techniques

Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

Aditya Bhattacharya

Aditya Bhattacharya

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Bhattacharya, Aditya
  
Published Online on: Aug 12, 2022
DOI: https://doi.org/10.0000/9781803234168-001
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

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