Title: Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth
Publisher: Springer Verlag
Publication Date: 2018
Language: English
ISBN 10: 3319690132
ISBN 13: 9783319690131
Binding: Paperback
Condition: Brand New
Weight: 0.23 kilograms

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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.

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