Machine-learning Techniques in Economics New Tools for Predicting Economic Growth /
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 technolo...
Κύριοι συγγραφείς: | Basuchoudhary, Atin (Συγγραφέας), Bang, James T. (Συγγραφέας), Sen, Tinni (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Σειρά: | SpringerBriefs in Economics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
The Econometrics of Multi-dimensional Panels Theory and Applications /
Έκδοση: (2017) -
Evolvodynamics - The Mathematical Theory of Economic Evolution A Coherent Way of Interpreting Time, Scarceness, Value and Economic Growth /
ανά: Wallast, Len H.
Έκδοση: (2013) -
Economic Growth Theory and Numerical Solution Methods /
ανά: Novales, Alfonso, κ.ά.
Έκδοση: (2009) -
Fourier-Malliavin Volatility Estimation Theory and Practice /
ανά: Mancino, Maria Elvira, κ.ά.
Έκδοση: (2017) -
Economic Growth Theory and Numerical Solution Methods
ανά: Novales, Alfonso
Έκδοση: (2010)