Machine-learning Techniques in Economics :New Tools for Predicting Economic Growth - SpringerBriefs in Economics

Machine-learning Techniques in Economics

Machine-learning Techniques in Economics :New Tools for Predicting Economic Growth - SpringerBriefs in Economics

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Published: 8 January, 2018
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Description

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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More Details

Type Book
ISBN13 9783319690131
ISBN10 3319690132
Number Of Pages 94
Item Weight 1000 g
Publisher / Reseller Springer International Publishing AG
Format paperback
Edition 1st ed. 2017
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