| Description |
1 online resource (410 pages) |
| Summary |
Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners , Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers all this, and more: Data mining processes, methods, and techniques The role and management of data Predictive analytics tools and metrics Techniques for text and web mining, and for sentiment analysis Integration with cutting-edge Big Data approaches Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors |
| Notes |
Copyright © FT Press |
| Issuing Body |
Made available through: Safari, an O'Reilly Media Company |
| Notes |
Online resource; Title from title page (viewed December 23, 2020) |
| Form |
Electronic book
|
| Author |
O'Reilly for Higher Education (Firm), distributor.
|
|
Safari, an O'Reilly Media Company
|
| ISBN |
9780135946527 |
|
0135946522 |
|
