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.
Produkteigenschaften
- Artikelnummer: 9783031358814
- Medium: Buch
- ISBN: 978-3-031-35881-4
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 08.10.2024
- Sprache(n): Englisch
- Auflage: 2023
- Serie: Palgrave Advances in the Economics of Innovation and Technology
- Produktform: Kartoniert
- Gewicht: 585 g
- Seiten: 412
- Format (B x H x T): 148 x 210 x 25 mm
- Ausgabetyp: Kein, Unbekannt