Forecasting with Artificial Intelligence - Theory and Applications (1st ed. 2023)

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.

General

Imprint:	Palgrave Macmillan
Country of origin:	Switzerland
Series:	Palgrave Advances in the Economics of Innovation and Technology
Release date:	September 2023
Editors:	Mohsen Hamoudia • Spyros Makridakis • Evangelos Spiliotis
Dimensions:	210 x 148mm (L x W)
Pages:	305
Edition:	1st ed. 2023
ISBN-13:	978-3-03-135878-4
Categories:	Books Promotions
LSN:	3-03-135878-3
Barcode:	9783031358784

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