Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)

Basuchoudhary, Atin,Bang, James T.,Sen, Tinni

ISBN 10: 3319690132 / ISBN 13: 9783319690131

Published by Springer, 2018

About this Item

This is a used book in good condition and may show some signs of use or wear . This is a used book in good condition and may show some signs of use or wear .

Seller Inventory # mon0001456112

Bibliographic Details

• Title: Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319690132
• ISBN 13: 9783319690131
• Binding: paperback
• Condition: Good

About this title

Synopsis

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.