Machine-learning Techniques in Economics : New Tools for Predicting Economic Growth Paperback / softback
by Atin Basuchoudhary, James T. Bang, Tinni Sen
Part of the SpringerBriefs in Economics series
Paperback / softback
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.
Information
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Item not Available
- Format:Paperback / softback
- Pages:94 pages, 19 Tables, color; 19 Illustrations, color; 1 Illustrations, black and white; VI, 94 p. 20
- Publisher:Springer International Publishing AG
- Publication Date:08/01/2018
- Category:
- ISBN:9783319690131
Information
-
Item not Available
- Format:Paperback / softback
- Pages:94 pages, 19 Tables, color; 19 Illustrations, color; 1 Illustrations, black and white; VI, 94 p. 20
- Publisher:Springer International Publishing AG
- Publication Date:08/01/2018
- Category:
- ISBN:9783319690131
