Main Forecasting with Artificial Intelligence: Theory and Applications

Forecasting with Artificial Intelligence: Theory and Applications

Name: Forecasting with Artificial Intelligence: Theory and Applications
Rating: 5.0 (4 reviews)
ISBN: 9783031358791

Mohsen Hamoudia, Spyros Makridakis, Evangelos Spiliotis

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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.

Request Code : ZLIBIO4031390

Categories:

Year:

2023

Publisher:

Palgrave Macmillan

Language:

English

Pages:

594

ISBN 13:

9783031358791