Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth
Author:   Atin Basuchoudhary ,  James T. Bang ,  Tinni Sen
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319690131


Pages:   94
Publication Date:   08 January 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth


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Overview

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. 

Full Product Details

Author:   Atin Basuchoudhary ,  James T. Bang ,  Tinni Sen
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Weight:   0.454kg
ISBN:  

9783319690131


ISBN 10:   3319690132
Pages:   94
Publication Date:   08 January 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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