Chapter overviewIntroductory
What is the purpose of the book 'AI for Time Series Volume 1' and who is it intended for?
The purpose of the book is to provide a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models, with deep learning based techniques. It is intended as supplementary reading for graduate students taking advanced topics or seminars on deep learning and foundation models, and as a reference for researchers and engineers working on time series applications in finance, healthcare, energy, and climate.
Key points
- Covers recent AI innovations for general time series analysis, distribution shift, and foundation models.
- Highlights deep learning based models such as TimesNet, AdaTime, and Time-LLM.
- Designed as supplementary reading for graduate students in advanced deep learning and foundation model courses.
- Useful reference for researchers and engineers in finance, healthcare, energy, and climate fields.
Related questions
AI for Time Series_ Volume 1_ Unlocking Patterns with Deep Learning
Min Wu;Emadeldeen Eldele;Zhenghua Chen;Shirui Pan;Qingsong Wen;Xiaoli Li;
First edition · CRC Press