Machine-learning Techniques in Economics
Auteur : Atin Basuchoudhary, James T. Bang, Tinni Sen
Date de publication : 2017-12-28
Éditeur : Springer
Nombre de pages : 94
Résumé du livre
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.