Machine-learning techniques in economics new tools for predicting economic growth
Saved in:
Main Authors: | , , |
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Language: | English |
Series: | SpringerBriefs in economics.
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Subjects: | |
Online Access: | Link to e-book |
Physical Description: | 1 online resource : illustrations. |
Bibliography: | Includes bibliographical references. |
Published: |
Cham, Switzerland :
Springer,
[2017]
|
ISBN: | 9783319690148 3319690140 |
ISSN: | 2191-5512 |
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100 | 1 | |a Basuchoudhary, Atin, |e author. | |
245 | 1 | 0 | |a Machine-learning techniques in economics |h [electronic resource] : |b new tools for predicting economic growth / |c Atin Basuchoudary, James T. Bang, Tinni Sen. |
264 | 1 | |a Cham, Switzerland : |b Springer, |c [2017] | |
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490 | 1 | |a SpringerBriefs in economics, |x 2191-5512 | |
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505 | 0 | |a Why this Book? -- Data, Variables, and Their Sources -- Methodology -- Predicting Economic Growth: A First Look -- Predicting Economic Growth: Which Variables Matter? -- Predicting Recessions: What We Learn from Widening the Goalposts -- Epilogue. | |
596 | |a Springer 2017 eBook collection | ||
597 | |a Individual chapters in PDF format. | ||
650 | 0 | |a Economic development |x Forecasting. | |
650 | 0 | |a Economic forecasting. | |
650 | 0 | |a Machine learning. | |
700 | 1 | |a Bang, James T., |e author. | |
700 | 1 | |a Sen, Tinni, |e author. | |
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