Machine-learning Techniques in Economics New Tools for Predicting Economic Growth

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 technolo...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Basuchoudhary, Atin, autor (autor), Bang, James T, autor, Sen, Tinni, autor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer 2017.
Colección:SpringerBriefs in Economics,
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b37117750*spi
Descripción
Sumario: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. .
Descripción Física:VI, 94 p. : il
Formato:Forma de acceso: World Wide Web.
ISBN:9783319690148