Masís, S., Molak, A., & Rothman, D. [ca. 2023]. Interpretable Machine Learning with Python : Build explainable, fair, and robust high-performance models with hands-on, real-world examples (1. Auflage) [Cd]. Birmingham: Packt Publishing Limited.
ISO-690 (author-date, English)MASÍS, Serg, MOLAK, Aleksander und ROTHMAN, Denis, 2023. Interpretable Machine Learning with Python : Build explainable, fair, and robust high-performance models with hands-on, real-world examples. 1. Auflage. Birmingham: Packt Publishing Limited. ISBN 9781803243627.
Modern Language Association 9th editionMasís, S., A. Molak, und D. Rothman. Interpretable Machine Learning with Python : Build explainable, fair, and robust high-performance models with hands-on, real-world examples. 1. Auflage, cd, Packt Publishing Limited, 2023.
Mohr Siebeck - Recht (Deutsch - Österreich)Masís, Serg/Molak, Aleksander/Rothman, Denis: Interpretable Machine Learning with Python : Build explainable, fair, and robust high-performance models with hands-on, real-world examples, 1. Auflage. Aufl. Birmingham 2023.
Emerald - HarvardMasís, S., Molak, A. und Rothman, D. (2023), Interpretable Machine Learning with Python : Build explainable, fair, and robust high-performance models with hands-on, real-world examples, 1. Auflage., Bd. , Packt Publishing Limited, Birmingham.