Springer
Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
Product Code:
9783319690131
ISBN13:
9783319690131
Condition:
New
$76.99
Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth
$76.99
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
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
| Author: Atin Basuchoudhary |
| Publisher: Springer |
| Publication Date: Jan 08, 2018 |
| Number of Pages: 94 pages |
| Binding: Paperback or Softback |
| ISBN-10: 3319690132 |
| ISBN-13: 9783319690131 |
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