Machine-learning Techniques in Economics
New Tools for Predicting Economic Growth
Business & Finance, Economics, Econometrics, Economic Development
| Author: | Atin Basuchoudhary, James T. Bang, Tinni Sen | ISBN: | 9783319690148 |
| Publisher: | Springer International Publishing | Publication: | December 28, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | Atin Basuchoudhary, James T. Bang, Tinni Sen |
| ISBN: | 9783319690148 |
| Publisher: | Springer International Publishing |
| Publication: | December 28, 2017 |
| Imprint: | Springer |
| Language: | English |
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.
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.
