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Modern Time Series Forecasting with Python

<span xml:lang="en">Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas</span>

Joseph, Manu

Bergmeir, Christoph

Tackes, Jeffrey

Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architecturesKey FeaturesApply ML and global models to improve forecasting accuracy through practical examplesEnhance your time series toolkit by using deep learning models, including RNNs, transformers, and N-BEATSLearn probabilistic forecasting with conformal prediction, Monte Carlo dropout, and quantile regressionsPurchase of the print or Kindle book includes a free eBook in PDF...

Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global...

Format

Modern Time Series Forecasting with Python

Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

Manu Joseph

Christoph Bergmeir

Jeffrey Tackes

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