9788126567935 - Predictive Analytics For Dummies, 2Nd Edition (3 Ergebnisse)

Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Soft cover. Zustand: New. 2nd Edition. Contents: Introduction. I. Getting Started with Predictive Analytics. 1. Entering the Arena. 2. Predictive Analytics in the Wild. 3. Exploring Your Data Types and Associated Techniques. 4. Complexities of Data. II. Incorporating Algorithms in Your Models. 5. Applying Models. 6. Identifying Similarities in Data. 7. Predicting the Future Using Data Classification. III. Developing a Roadmap. 8. Convincing Your Management to Adopt Predictive Analytics. 9. Preparing Data. 10. Building a Predictive Model. 11. Visualization of Analytical Results. IV. Programming Predictive Analytics. 12. Creating Basic Prediction Examples. 13. Creating Basic Examples of Unsupervised Predictions. 14. Predictive Modeling with R. 15. Avoiding Analysis Traps. V. Executing Big Data. 16. Targeting Big Data. 17. Getting Ready for Enterprise Analytics. VI. The Part of Tens. 18. Ten Reasons to Implement. 19. Ten Steps to Build a Predictive Analytic Model. Index. Predictive Analytics for Dummies, 2e will help the you understand the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. You will learn how to incorporate algorithms through discovering data models, identifying similarities and relationships in your data, and how to predict the future through data classification. You will develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get stakeholder buy-in. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies.