MASÍS, Serg, MOLAK, Aleksander und ROTHMAN, Denis, 2022. Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. 2 nd ed. Birmingham: Packt Publishing, Limited. ISBN 9781803243627.
Elsevier - Harvard (with titles)Masís, S., Molak, A., Rothman, D., 2022. Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples, 2 nd ed. ed. Packt Publishing, Limited, Birmingham.
American Psychological Association 7th editionMasís, S., Molak, A., & Rothman, D. (ca. 2022). Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples (2 nd ed.) [Cd]. Packt Publishing, Limited.
Springer - Basic (author-date)Masís S, Molak A, Rothman D (2022) Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples, 2 nd ed. Packt Publishing, Limited, Birmingham
Juristische Zitierweise (Stüber) (Deutsch)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, 2 nd ed. , Birmingham 2022.