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portada Forecasting with Artificial Intelligence: Theory and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
412
Format
Hardcover
Dimensions
21x14.8x2.5 cm
Weight
0.69 kg.
ISBN13
9783031358784
Categories

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

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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.

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