Machine-learning Techniques in Economics

New Tools for Predicting Economic Growth

Business & Finance, Economics, Econometrics, Economic Development
Cover of the book Machine-learning Techniques in Economics by Atin Basuchoudhary, James T. Bang, Tinni Sen, Springer International Publishing
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Author: Atin Basuchoudhary, James T. Bang, Tinni Sen ISBN: 9783319690148
Publisher: Springer International Publishing Publication: December 28, 2017
Imprint: Springer Language: English
Author: Atin Basuchoudhary, James T. Bang, Tinni Sen
ISBN: 9783319690148
Publisher: Springer International Publishing
Publication: December 28, 2017
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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