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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

Forecasting with Artificial Intelligence cover

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.