Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Ivan Gridin Time Series Forecasting using Deep Learning Reviews Summary

Ratings Breakdown

Rated 4.3 by 33 people

Pros from Reviews

  • Good robust code
  • Nice figures
  • Latest architectures
  • Hybrid models
  • Hyperparameter optimization
  • Clear explanations
  • Concise
  • Useful examples

Cons from Reviews

  • Doesn't cover classical statistical models
  • Short introduction to ARIMA, HWES models
  • No machine learning techniques
  • Less coverage on advanced topics
  • No uncertainty estimates
  • Not great for financial data
  • No predictive power
  • Sparse explanations

Notable Features

Deep Learning
PyTorch
RNN
TCN
Deep Neural Network
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