Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst
This guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics proje...
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| Natura: | Libro |
| Lingua: | inglese |
| Pubblicazione: |
New Delhi
Wiley India Pvt. Ltd.
2018
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| 100 | |a Abbott, Dean |9 4589 | ||
| 245 | |a Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst | ||
| 260 | |a New Delhi |b Wiley India Pvt. Ltd. |c 2018 | ||
| 300 | |a xxiv, 427 p. | ||
| 520 | |a This guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Readers will learn how successfully applying predictive analytics enables businesses to effectively interpret big data, essential for competition today. This guide teaches how to apply predictive analytics to achieve real, pragmatic solutions and how to conduct predictive analytics projects from start to finish. The book illustrates each technique with hands-on examples and includes a series of in-depth case studies that apply predictive analytics to common business scenarios. | ||
| 650 | |a Business - Computer Programs |9 3120 | ||
| 650 | |a Business - Data Processing |9 3859 | ||