Share
Forecasting with Artificial Intelligence: Theory and Applications
Hamoudia, Mohsen ; Makridakis, Spyros ; Spiliotis, Evangelos (Author)
·
Palgrave MacMillan
· Hardcover
Forecasting with Artificial Intelligence: Theory and Applications - Hamoudia, Mohsen ; Makridakis, Spyros ; Spiliotis, Evangelos
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Tuesday, July 23 and
Tuesday, July 30.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "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.
