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Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics) - Softcover
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.
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- PublisherSpringer
- Publication date2018
- ISBN 10 3319690132
- ISBN 13 9783319690131
- BindingPaperback
- Edition number1
- Number of pages100
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Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics) by Basuchoudhary, Atin, Bang, James T., Sen, Tinni [Paperback ]
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Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)
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Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)
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Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth
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Machine-learning Techniques in Economics
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists. 94 pp. Englisch. Seller Inventory # 9783319690131
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