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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 21, 2026 |
| ISBN13 | 9781041010326 |
| Publishers | Taylor & Francis Ltd |
| Pages | 252 |
| Dimensions | 150 × 220 × 20 mm · 660 g |
| Editor | Chen, Zhenghua |
| Editor | Eldele, Emadeldeen |
| Editor | Li, Xiaoli |
| Editor | Pan, Shirui |
| Editor | Wen, Qingsong |
| Editor | Wu, Min |
