Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR / Joos Korstanje.

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

Online Access:	Full Text (via Skillsoft)
Main Author:	Korstanje, Joos
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Apress, 2021.
Subjects:	Python (Computer program language) Machine learning. Time-series analysis > Data processing. Machine learning Time-series analysis > Data processing