书目名称 | Forecasting with Artificial Intelligence | 副标题 | Theory and Applicati | 编辑 | Mohsen Hamoudia,Spyros Makridakis,Evangelos Spilio | 视频video | | 概述 | Delineates what the capabilities of modern forecasting approaches.Offers comprehensive case studies on various critical domains and describes best practices.Covers a range of cutting-edge topics, incl | 丛书名称 | Palgrave Advances in the Economics of Innovation and Technology | 图书封面 |  | 描述 | .This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. ..The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.. | 出版日期 | Book 2023 | 关键词 | Artificial Intelligence; Machine Learning; Forecasting; Predictive Analysis; Data Science; Data Mining; Fi | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-35879-1 | isbn_softcover | 978-3-031-35881-4 | isbn_ebook | 978-3-031-35879-1Series ISSN 2662-3862 Series E-ISSN 2662-3870 | issn_series | 2662-3862 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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