Forecasting with Artificial Intelligence : Theory and Applications - Evangelos Spiliotis

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Forecasting with Artificial Intelligence

Theory and Applications

By: Evangelos Spiliotis (Editor), Spyros Makridakis (Editor), Mohsen Hamoudia (Editor)

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Hardcover | 21 September 2023

At a Glance

Hardcover
458 Pages

Dimensions(cm)
21.0 x 14.8 x 3.18

Hardcover

$259.01

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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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