Palgrave Advances in the Economics of Innovation and Technology: Theory and Applications

Hamoudia, Mohsen; Makridakis, Spyros; Spiliotis, Evangelos

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.

Details

Published by: Palgrave Macmillan

Publication Date: 2024-10-08

Format: Paperback

ISBN-13: 9783031358814

DOI: 10.1007/978-3-031-35879-1

Dimensions: 210cm x148cm

Pages: 412