Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/33686
Title: | Applied Predictive Modeling |
Authors: | Kuhn, Max Johnson, Kjell |
Keywords: | Model Non-Linear Predictive Models Regression Models Regression Trees |
Issue Date: | 2013 |
Publisher: | Springer |
Abstract: | This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. |
URI: | https://lib.hpu.edu.vn/handle/123456789/33686 |
ISBN: | 978-1-4614-6848-6 978-1-4614-6849-3 |
Appears in Collections: | Technology |
Files in This Item:
File | Description | Size | Format | |
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Applied-Predictive-Modeling.pdf Restricted Access | 8.11 MB | Adobe PDF | View/Open Request a copy |
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