Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth by Tinni Sen, Atin Basuchoudhary, James T. Bang (Paperback, 2018)

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ISBN-13: 9783319690131, 978-3319690131. Machine-learning Techniques in Economics. New Tools for Predicting Economic Growth. Publisher: Springer International Publishing AG, Switzerland.

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Product Information

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.

Product Identifiers

PublisherSpringer International Publishing A&G
ISBN-139783319690131
eBay Product ID (ePID)11046571611

Product Key Features

Number of Pages94 Pages
LanguageEnglish
Publication NameMachine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
Publication Year2018
SubjectEconomics, Computer Science, Mathematics
TypeTextbook
AuthorTinni Sen, Atin Basuchoudhary, James T. Bang
SeriesSpringerbriefs in Economics
FormatPaperback

Dimensions

Item Height235 mm
Item Weight226 g
Item Width155 mm

Additional Product Features

Country/Region of ManufactureSwitzerland
Title_AuthorAtin Basuchoudhary, Tinni Sen, James T. Bang

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