Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Description
Explainable AI is a set of techniques used to demystify the outcome of machine learning and AI models, making algorithms more trustworthy and transparent by justifying model predictions. This book helps you to learn how to design explainable ML systems for industrial applications considering the best practices.
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‘Applied Machine Learning Explainability Techniques - Bhattacharya, Aditya’.
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