Machine-learning Techniques in Economics

£54.99

Machine-learning Techniques in Economics

New Tools for Predicting Economic Growth

Economic growth Econometrics and economic statistics Game theory Data mining Computer applications in the social and behavioural sciences Expert systems / knowledge-based systems

Authors: Atin Basuchoudhary, James T. Bang, Tinni Sen

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Collection: SpringerBriefs in Economics

Language: English

Published by: Springer

Published on: 28th December 2017

Format: LCP-protected ePub

Size: 661 Kb

ISBN: 9783319690148


Overview

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.

Context and Significance

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.

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