This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning ...

or Python developers who want practical Python recipes for time series analysis and forecasting techniques. Fundamental knowledge of Python programming is required. Although having a basic math and ...

The data science field is evolving rapidly, driven by technological advancements, industry demands, and the growing ...

In short, training builds the foundation, while inferencing brings that knowledge to life in practical, real-world ...

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This practical, hands-on guide empowers you to build and deploy powerful time series forecasting ... in time series analysis and forecasting, this book will provide the tools and techniques you need.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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It helps create predictive models that use neural networks and time series forecasting methods to predict future outcomes ...