Forecasting with Artificial Intelligence: Theory and Applications

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.

• Format: Hardcover
• Language: English
• ISBN: 3031358783
• ISBN13: 9783031358784
• Release Date: September 2023
• Publisher: Palgrave MacMillan
• Length: 412 Pages
• Weight: 1.53 lbs.
• Dimensions: 1.0" x 5.8" x 8.3"