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: 9783031358784
- Medium: Buch
- ISBN: 978-3-031-35878-4
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 21.09.2023
- Sprache(n): Englisch
- Auflage: 2023
- Serie: Palgrave Advances in the Economics of Innovation and Technology
- Produktform: Gebunden
- Gewicht: 698 g
- Seiten: 412
- Format (B x H x T): 153 x 216 x 29 mm
- Ausgabetyp: Kein, Unbekannt