Book Review: Time Series with PyTorch

Book Review: Time Series with PyTorch Amazon Packt Code on GitHub Lei Ma’s website I was offered to read Time Series with PyTorch by Graeme Davidson and Lei Ma in exchange for an honest review. Time-series forecasting is one of the most challenging areas of machine learning for me and many deep learning books treat it as an afterthought added after computer vision and NLP. This book is a practical guide for people who already know some Python and statistics but have not done much deep learning for temporal data. It starts from what makes time series hard, builds neural networks from first principles in PyTorch and then demonstrates modern architectures for time-series. After that, it goes beyond point forecasting and teaches classification, clustering, anomaly detection, and self-supervised learning. I liked that correct evaluation plays an important role in each chapter. The overall structure flowchart TB F["Foundations (Ch 1-7)<br/>the challenge of time-series data,<br/>honest…