Time Series with PyTorch: Modern Deep Learning Toolkit for Real-World Forecasting Challenges
Time Series with PyTorch presents a modern deep learning toolkit for time-series forecasting. Focusing on PyTorch and real-world forecasting challenges, it offers a practical resource for readers seeking to understand how contemporary machine learning methods can be applied to time-dependent data.
About This Book
Time Series with PyTorch explores modern deep learning approaches for time-series forecasting.
The book focuses on using PyTorch as a toolkit for working with forecasting challenges in practical settings.
It is suited to readers interested in the intersection of time-series analysis, machine learning, and programming.
With its emphasis on contemporary methods, the book provides a focused resource for studying deep learning applications in forecasting.
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