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. In Expert insight (Second edition) [Cd]. Birmingham, UK: Packt Publishing Ltd.
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. Second edition. Birmingham, UK: Packt Publishing Ltd.
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“. Expert insight, Second edition, cd, Packt Publishing Ltd., 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, Second edition. Aufl. Birmingham, UK 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, Expert insight, Second edition., Bd. , Packt Publishing Ltd., Birmingham, UK.