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.
İçerik tablosu
Why this Book?.- Data, Variables, and Their Sources.- Methodology.- Predicting Economic Growth: A First Look.- Predicting Economic Growth: Which Variables Matter?.- Predicting Recessions: What We Learn from Widening the Goalposts.- Epilogue.
Bu e-kitabı satın alın ve 1 tane daha ÜCRETSİZ kazanın!
Dil İngilizce ● Biçim PDF ● Sayfalar 94 ● ISBN 9783319690148 ● Dosya boyutu 2.1 MB ● Yayımcı Springer International Publishing ● Kent Cham ● Ülke CH ● Yayınlanan 2017 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 5578096 ● Kopya koruma Sosyal DRM