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

Buch 102 von 159: SpringerBriefs in Economics

Basuchoudhary, Atin; Bang, James T.; Sen, Tinni

 
9783319690131: Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)
Softcover
ISBN 10: 3319690132 ISBN 13: 9783319690131
Verlag: Springer, 2018

Inhaltsangabe

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. 

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319690132
ISBN 13 
9783319690131
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
100
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Deutschland