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Springer Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)

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Description

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 Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 January 2018
Listed Since
07 September 2017

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