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Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
Paperback
Series: Springerbriefs in Economics
ISBN13: 9783319690131
Publisher: Springer Nature
Published: Jan 8 2018
Pages: 94
Weight: 0.33
Height: 0.21 Width: 6.14 Depth: 9.21
Language: English
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
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