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Deep Learning for Time Series Cookbook

You're reading from  Deep Learning for Time Series Cookbook

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129233
Pages 274 pages
Edition 1st Edition
Languages
Authors (2):
Vitor Cerqueira Vitor Cerqueira
Profile icon Vitor Cerqueira
Luís Roque Luís Roque
Profile icon Luís Roque
View More author details

Table of Contents (12) Chapters

Preface Chapter 1: Getting Started with Time Series Chapter 2: Getting Started with PyTorch Chapter 3: Univariate Time Series Forecasting Chapter 4: Forecasting with PyTorch Lightning Chapter 5: Global Forecasting Models Chapter 6: Advanced Deep Learning Architectures for Time Series Forecasting Chapter 7: Probabilistic Time Series Forecasting Chapter 8: Deep Learning for Time Series Classification Chapter 9: Deep Learning for Time Series Anomaly Detection Index Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Time Series Analysis with Python Cookbook

Tarek A. Atwan

ISBN: 978-1-80107-554-1

  • Understand what makes time series data different from other data
  • Apply various imputation and interpolation strategies for missing data
  • Implement different models for univariate and multivariate time series
  • Use different deep learning libraries such as TensorFlow, Keras, and PyTorch
  • Plot interactive time series visualizations using hvPlot
  • Explore state-space models and the unobserved components model (UCM)
  • Detect anomalies using statistical and machine learning methods
  • Forecast complex time series with multiple seasonal patterns

Modern Time Series Forecasting with Python

Manu Joseph

ISBN: 978-1-80324-680-2

  • Find out how to manipulate and visualize time series data...

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Published in: Mar 2024 Publisher: Packt ISBN-13: 9781805129233
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