Applied Predictive Analytics is popular PDF and ePub book, written by Dean Abbott in 2014-03-31, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Applied Predictive Analytics can be Read Online from any device for your convenience.
Applied Predictive Analytics Book PDF Summary
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, 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. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
Detail Book of Applied Predictive Analytics PDF
- Author : Dean Abbott
- Release : 31 March 2014
- Publisher : John Wiley & Sons
- ISBN : 9781118727690
- Genre : Computers
- Total Page : 456 pages
- Language : English
- PDF File Size : 20,5 Mb
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