Machine-learning Techniques in Economics
ISBN:
978-3-319-69013-1
Auflage:
1st ed. 2017
Verlag:
Springer International Publishing
Land des Verlags:
Schweiz
Erscheinungsdatum:
08.01.2018
Reihe:
SpringerBriefs in Economics
Format:
Softcover
Seitenanzahl:
94
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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.
