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

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

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Détails bibliographiques
Auteur principal:	Bhattacharya, Aditya. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2022.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

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