TY  - GEN
N2  - 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. .--
DO  - 10.1007/978-3-319-69014-8
DO  - doi
AB  - 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. .--
T1  - Machine-learning techniques in economics :new tools for predicting economic growth /
AU  - Basuchoudhary, Atin,
AU  - Bang, James T.,
AU  - Sen, Tinni,
CN  - HD82
ID  - 827644
KW  - Economic development
KW  - Economic forecasting.
KW  - Machine learning.
SN  - 9783319690148
SN  - 3319690140
TI  - Machine-learning techniques in economics :new tools for predicting economic growth /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-69014-8
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-69014-8
ER  -