Forecasting with Artificial Intelligence

Lieferzeit: Lieferbar innerhalb 14 Tagen

192,59 

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

ISBN: 3031358783
ISBN 13: 9783031358784
Herausgeber: Mohsen Hamoudia/Spyros Makridakis/Evangelos Spiliotis
Verlag: Springer Verlag GmbH
Umfang: xliv, 412 S., 10 s/w Illustr., 38 farbige Illustr., 412 p. 48 illus., 38 illus. in color.
Erscheinungsdatum: 21.09.2023
Auflage: 1/2024
Produktform: Gebunden/Hardback
Einband: Gebunden

Delineates what the capabilities of modern forecasting approachesOffers comprehensive case studies on various critical domains and describes best practicesCovers a range of cutting-edge topics, including data mining techniques and predictive algorithms

Artikelnummer: 9484476 Kategorie:

Beschreibung

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.

Autorenporträt

Mohsen Hamoudia is CEO since 2020 of PREDICONSULT (Data and Predictive Analytics), Paris. He is a consultant to several consulting companies in Europe and the US. His research is primarily focused on economics and empirical aspects of forecasting in air transportation, telecommunications, IT (Information and Technologies), social networking, and innovation and new technologies Spyros Makridakis is a Professor at the University of Nicosia and the founder of the Makridakis Open Forecasting Center (MOFC). He is also an Emeritus Professor at INSEAD, he joined in 1970. He has authored/co-authored, 27 books/special and more than 360 articles. He was the founding editor-in-chief of the Journal of Forecasting and the International Journal of Forecasting and is the organizer of the renowned M (Makridakis) competitions. Evangelos Spiliotis is a Research Fellow at the Forecasting & Strategy Unit, National Technical University of Athens. Hisresearch focuses on time series forecasting with machine learning, while his work on tools for management support. He has co-organized the M4, M5, and M6 forecasting competitions.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …