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Modern Time Series Forecasting with Python

Explore industry-ready time series forecasting using modern machine learning and deep learning

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  • 552 Seiten
  • 20 Lesestunden

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Focusing on practical applications, this book guides readers in creating scalable time series forecasting systems using contemporary machine learning and deep learning techniques. It emphasizes industry-tested methods to effectively manage and predict millions of time series, equipping readers with the skills needed to implement these advanced forecasting strategies in real-world scenarios.

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Modern Time Series Forecasting with Python, Manu Joseph

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Erscheinungsdatum
2022
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(Paperback)
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