Forecasting with Artificial Intelligence : Theory and Applications Hardback
Edited by Mohsen Hamoudia, Spyros Makridakis, Evangelos Spiliotis
Part of the Palgrave Advances in the Economics of Innovation and Technology series
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:412 pages, 38 Illustrations, color; 10 Illustrations, black and white; XLIV, 412 p. 48 illus., 38 il
- Publisher:Springer International Publishing AG
- Publication Date:21/09/2023
- Category:
- ISBN:9783031358784
Information
-
Out of stock
- Format:Hardback
- Pages:412 pages, 38 Illustrations, color; 10 Illustrations, black and white; XLIV, 412 p. 48 illus., 38 il
- Publisher:Springer International Publishing AG
- Publication Date:21/09/2023
- Category:
- ISBN:9783031358784
