Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics) - Softcover
Book 102 of 159: SpringerBriefs in Economics
Synopsis
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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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 (eng)
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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
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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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Machine Learning Techniques In Economic
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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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Machine Learning Techniques In Economic
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Machine-learning Techniques in Economics | New Tools for Predicting Economic Growth
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Taschenbuch. Condition: Neu. Machine-learning Techniques in Economics | New Tools for Predicting Economic Growth | Atin Basuchoudhary (u. a.) | Taschenbuch | vi | Englisch | 2018 | Springer | EAN 9783319690131 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 110988917