Forecasting with Artificial Intelligence
Theory and Applications
Mohsen Hamoudia editor Spyros Makridakis editor Evangelos Spiliotis editor
Format:Hardback
Publisher:Springer International Publishing AG
Published:21st Sep '23
Should be back in stock very soon
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.
ISBN: 9783031358784
Dimensions: unknown
Weight: unknown
412 pages
2023 ed.