
Автор: Mohsen Hamoudia, Spyros Makridakis, Evangelos Spiliotis
Издательство: Palgrave Macmillan
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true), epub
Размер: 22.1 MB
This book is a comprehensive guide that explores the intersection of Artificial Intelligence (AI) and forecasting, providing the latest insights and trends in this rapidly evolving field. This book explores the intersection of Artificial Intelligence (AI) and forecasting, providing an overview of the current capabilities and potential implications of the former for the theory and practice of forecasting. It contains 14 chapters that touch on various topics, such as the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, including key illustrations, state-of-the-art implementations, best practices and notable advances, meta-learning and feature-based forecasting, ensembling, Deep Learning, scalability in industrial and optimization applications, and forecasting performance evaluation.