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

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

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.

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Reseña del editor

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 zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 3319690132
• ISBN 13: 9783319690131
• Einband: Tapa blanda
• Anzahl der Seiten: 100
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Deutschland