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Modern Time Series Forecasting with Python
Explore industry-ready time series forecasting using modern machine learning and deep learning
Authors
552 pages
More about the book
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.
Book variant
2022, paperback
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