Applied machine learning explainability techniques : make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more / Aditya Bhattacharya.

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

Online Access:	Full Text (via O'Reilly/Safari)
Main Author:	Bhattacharya, Aditya (Author)
Format:	eBook
Language:	English
Published:	Birmingham : Packt Publishing, Limited, [2022].
Subjects:	Machine learning. Machine learning