SpringerBriefs in Economics: New Tools for Predicting Economic Growth
Basuchoudhary, Atin; Bang, James T.; Sen, Tinni
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.
Details
Published by: Springer
Publication Date: 2018-01-08
Format: Paperback
ISBN-13: 9783319690131
DOI: 10.1007/978-3-319-69014-8
Dimensions: 235cm x155cm
Pages: 94