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Books > Business & Economics > Economics > Econometrics

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Machine-learning Techniques in Economics - New Tools for Predicting Economic Growth (Paperback, 1st ed. 2017) Loot Price: R1,890

Discovery Miles 18 900

Repayment Terms: R177 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 R1,890 Discovery Miles 18 900 | Repayment Terms: R177 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 Promotions
LSN:	3-319-69013-2
Barcode:	9783319690131