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Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth - Paperback

Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth - Paperback

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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
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