AI for Time Series by Min Wu, Emadeldeen Eldele, Zhenghua Che... - 9781041010326

AI for Time SeriesVolume 1: Unlocking Patterns with Deep Learning\nAuthor(s): Min Wu, Emadeldeen Eldele, Zhenghua Chen, Shirui Pan, Qingsong Wen, Xiaoli Li\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781041010326, 978-1041010326\nSynopsis\nThis 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 advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.\n\nIn the study of the use of AI for general time series analysis, readers are introduced to a recent important model like TimesNet, which has set new benchmarks for general time series analysis. TimesNet is a cutting-edge m.