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

Atin Basuchoudhary

ISBN 10: 3319690132 / ISBN 13: 9783319690131

Published by Springer, Berlin, Springer International Publishing, Springer, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319690131

Bibliographic Details

• Title: Machine-learning Techniques in Economics : New Tools for Predicting Economic Growth
• Publisher: Springer, Berlin, Springer International Publishing, Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319690132
• ISBN 13: 9783319690131
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 267W x 155H x 7D millimeters 267 millimeters width by 155 millimeters height by 7 millimeters depth
• Weight: 180 grams

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.