Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth
- ISBN-10
- 3319690140
- ISBN-13
- 9783319690148
- Category
- Business & Economics
- Pages
- 94
- Language
- English
- Published
- 2017-12-28
- Publisher
- Springer
- Authors
- Atin Basuchoudhary, James T. Bang, Tinni Sen
Description
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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