Visit our Christmas Gift Finder
Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth - SpringerBriefs in Economics (Paperback)
  • Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth - SpringerBriefs in Economics (Paperback)
zoom

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

(author), (author), (author)
£49.99
Paperback 94 Pages / Published: 08/01/2018
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket
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.

Publisher: Springer International Publishing AG
ISBN: 9783319690131
Number of pages: 94
Weight: 226 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2017

You may also be interested in...

Pricing the Planet's Future
Added to basket
Back to Work
Added to basket
Stumbling Giant
Added to basket
£14.99
Paperback
Economics Demystified
Added to basket
Economic Growth
Added to basket
When the Money Runs Out
Added to basket
How China Became Capitalist
Added to basket
Plan B
Added to basket
£11.99
Paperback
Human Capitalism
Added to basket
£11.99
Hardback
A Great Leap Forward
Added to basket
A Middle Class Without Democracy
Added to basket
Pillars of Prosperity
Added to basket
China's Growth
Added to basket
£31.49
Hardback
Why Growth Matters
Added to basket
The Builders
Added to basket
£9.99
Paperback
Africa
Added to basket
£14.99
Paperback

Please sign in to write a review

Your review has been submitted successfully.