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Machine-learning Techniques in Economics - New Tools for Predicting Economic Growth (Paperback, 1st ed. 2017) Loot Price: R1,747
Discovery Miles 17 470
Repayment Terms: R164 pm x 12*
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Machine-learning Techniques in Economics - New Tools for Predicting Economic Growth (Paperback, 1st ed. 2017): Atin...

Machine-learning Techniques in Economics - New Tools for Predicting Economic Growth (Paperback, 1st ed. 2017)

Atin Basuchoudhary, James T. Bang, Tinni Sen

Series: SpringerBriefs in Economics

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Loot Price R1,747 Discovery Miles 17 470 | Repayment Terms: R164 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Economics
Release date: 2018
First published: 2017
Authors: Atin Basuchoudhary • James T. Bang • Tinni Sen
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 94
Edition: 1st ed. 2017
ISBN-13: 978-3-319-69013-1
Categories: Books > Business & Economics > Economics > Econometrics > General
Books > Science & Mathematics > Mathematics > Optimization > Game theory
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-319-69013-2
Barcode: 9783319690131

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