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Machine-Learning Techniques in Economics

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Machine-Learning Techniques in Economics Synopsis

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. 

About This Edition

ISBN: 9783319690131
Publication date:
Author: Atin Basuchoudhary, James T Bang, Tinni Sen
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 94 pages
Series: SpringerBriefs in Economics
Genres: Economic growth
Game theory
Expert systems / knowledge-based systems
Data mining
Computer applications in the social and behavioural sciences
Econometrics and economic statistics