Advanced Forecasting with Python : With State-of-the-Art-Models Including LSTMs, Facebook's Prophet, and Amazon's DeepAR /

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook's open-source Prophet model, and Amazon's...

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Bibliographic Details

Main Author:	Korstanje, Joos (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berkeley, CA : Apress : Imprint: Apress, 2021.
Edition:	1st ed. 2021.
Subjects:	Machine learning. Python (Computer program language). Machine Learning. Python. Electronic books.
Online Access:	Connect to the full text of this electronic book