AUFFARTH, Ben, 2022. Machine learning for time-series : use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods. Second edition. [Birmingham, United Kingdom]: Packt Publishing.
Elsevier - Harvard (with titles)Auffarth, B., 2022. Machine learning for time-series : use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, Second edition. ed. Packt Publishing, [Birmingham, United Kingdom].
American Psychological Association 7th editionAuffarth, B. (ca. 2022). Machine learning for time-series : use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods (Second edition) [Cd]. Packt Publishing.
Springer - Basic (author-date)Auffarth B (2022) Machine learning for time-series : use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, Second edition. Packt Publishing, [Birmingham, United Kingdom]
Juristische Zitierweise (Stüber) (Deutsch)Auffarth, Ben, Machine learning for time-series : use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, Second edition , [Birmingham, United Kingdom] 2022.