Applied Machine Learning Explainability Techniques : Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More /

Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems Key Features Explore various explainability methods for designing robust and scalable explainable ML systems Use XAI frameworks such as LI...

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Bibliographic Details
Main Author: Bhattacharya, Aditya
Format: eBook
Language:English
Published: Birmingham : Packt Publishing, Limited, 2022.
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Call Number: Q325.5 .B43 2022
 
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Q325.5 .B43 2022 Available