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
PublisherSpringer International Publishing A&G
ISBN-139783319690131
eBay Product ID (ePID)11046571611
Product Key Features
Number of Pages94 Pages
LanguageEnglish
Publication NameMachine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
Publication Year2018
SubjectEconomics, Computer Science, Mathematics
TypeTextbook
AuthorTinni Sen, Atin Basuchoudhary, James T. Bang
SeriesSpringerbriefs in Economics
Dimensions
Item Height235 mm
Item Weight226 g
Additional Product Features
Country/Region of ManufactureSwitzerland
Title_AuthorAtin Basuchoudhary, Tinni Sen, James T. Bang