Forecasting with Artificial Intelligence : Theory and Applications
Overview
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.
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Details
- ISBN-13: 9783031358784
- ISBN-10: 3031358783
- Publisher: Palgrave MacMillan
- Publish Date: September 2023
- Dimensions: 8.27 x 5.83 x 1 inches
- Shipping Weight: 1.53 pounds
- Page Count: 412
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