Bhattacharya, A. [ca. 2022]. Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more (1. Auflage) [Cd]. Birmingham: Packt Publishing Limited.
ISO-690 (author-date, English)BHATTACHARYA, Aditya, 2022. Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more. 1. Auflage. Birmingham: Packt Publishing Limited. ISBN 9781803234168.
Modern Language Association 9th editionBhattacharya, A. Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more. 1. Auflage, cd, Packt Publishing Limited, 2022.
Mohr Siebeck - Recht (Deutsch - Österreich)Bhattacharya, Aditya: Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more, 1. Auflage. Aufl. Birmingham 2022.
Emerald - HarvardBhattacharya, A. (2022), Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more, 1. Auflage., Bd. , Packt Publishing Limited, Birmingham.