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Machine-learning Techniques in Economics - 9783319690131

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Last updated on 24 May, 2025 01:41:28 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Machine-learning Techniques in Economics
ISBN
9783319690131
Publication Name
Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
Publisher
Springer International Publishing A&G
Subject
Economics, Computer Science, Mathematics
Publication Year
2018
Series
Springerbriefs in Economics
Type
Textbook
Format
Paperback
Language
English
Item Height
235 mm
Author
Tinni Sen, Atin Basuchoudhary, James T. Bang
Item Weight
226 g
Item Width
155 mm
Number of Pages
94 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-13
9783319690131
eBay Product ID (ePID)
11046571611

Product Key Features

Number of Pages
94 Pages
Language
English
Publication Name
Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
Publication Year
2018
Subject
Economics, Computer Science, Mathematics
Type
Textbook
Author
Tinni Sen, Atin Basuchoudhary, James T. Bang
Series
Springerbriefs in Economics
Format
Paperback

Dimensions

Item Height
235 mm
Item Weight
226 g
Item Width
155 mm

Additional Product Features

Country/Region of Manufacture
Switzerland
Title_Author
Atin Basuchoudhary, Tinni Sen, James T. Bang

Item description from the seller

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BOOKS etc.

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BOOKS etc is an UK online business that is based in ALDERSHOT, Hampshire. We are a family run company that aims to bring customers a fantastic selection of books with great prices, with friendly ...
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