Forecasting with Artificial Intelligence: Theory and Applications (Palgrave Advances in the Economics of Innovation and Technology)

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.

• | Author: Mohsen Hamoudia, Spyros Makridakis, Evangelos Spiliotis
• | Publisher: Palgrave Macmillan
• | Publication Date: Sep 21, 2023
• | Number of Pages: 456 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3031358783
• | ISBN-13: 9783031358784