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

Machine-learning Techniques in Economics : New Tools for Predicting Economic Growth -  (Paperback) - image 1 of 1

about this item

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.
Number of Pages: 91
Genre: Business + Money Management, Computers + Internet
Series Title: Springerbriefs in Economics
Format: Paperback
Publisher: Springer Verlag
Author: Atin Basuchoudhary & James T. Bang & Tinni Sen
Language: English
Street Date: January 8, 2018
TCIN: 53486145
UPC: 9783319690131
Item Number (DPCI): 248-73-4852

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