Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth - Paperback
$113.38
by Atin Basuchoudhary (Author), James T. Bang (Author), Tinni Sen (Author)
Offers a guide to how machine learning techniques can improve predictive power in answering economic questions
Provides R codes to help guide the researcher in applying machine learning techniques using the R package
Uses partial dependence plots to tease out non-linear effects of explanatory variables on the dependent variables
Number of Pages: 94
Dimensions: 0.21 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: January 08, 2018
Estimated delivery: June 13 - June 16, 2026
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