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Agnieszka Jastrzebska, Tomasz Zwierzchowski og 6 andre
InnbundetEngelsk
Del av serien Studies in Big Data
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Forecasting with Artificial Intelligence
Redigert av Evangelos Spiliotis, Spyros Makridakis, Mohsen Hamoudia, 2023.Del av serien Palgrave Advances in the Economics of Innovation and Technology.
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.
InnbundetEngelsk
Normalpris: 2 169,-
1 952,-
Spar 217,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
Forecasting with Artificial Intelligence
Redigert av Evangelos Spiliotis, Spyros Makridakis, Mohsen Hamoudia, 2023.Del av serien Palgrave Advances in the Economics of Innovation and Technology.
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.
Normalpris: 2 169,-
1 952,-
Spar 217,-
InnbundetEngelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
1 952,-
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