Abbott Applied Predictive Analytics

Principles and Techniques for the Professional Data Analyst
1. Auflage 2014
ISBN: 978-1-118-72769-0
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 456 Seiten, E-Book

Learn the art and science of predictive analytics --techniques that get results
Predictive analytics is what translates big data intomeaningful, usable business information. Written by a leadingexpert in the field, this guide examines the science of theunderlying algorithms as well as the principles and best practicesthat govern the art of predictive analytics. It clearly explainsthe theory behind predictive analytics, teaches the methods,principles, and techniques for conducting predictive analyticsprojects, and offers tips and tricks that are essential forsuccessful predictive modeling. Hands-on examples and case studiesare included.
* The ability to successfully apply predictive analytics enablesbusinesses to effectively interpret big data; essential forcompetition today
* This guide teaches not only the principles of predictiveanalytics, but also how to apply them to achieve real, pragmaticsolutions
* Explains methods, principles, and techniques for conductingpredictive analytics projects from start to finish
* Illustrates each technique with hands-on examples and includesas series of in-depth case studies that apply predictive analyticsto common business scenarios
* A companion website provides all the data sets used to generatethe examples as well as a free trial version of software
Applied Predictive Analytics arms data and businessanalysts and business managers with the tools they need tointerpret and capitalize on big data.

Autoren/Hrsg.

Abbott, Dean

Über Autor(innen)

DEAN ABBOTT is President of Abbott Analytics, Inc. (SanDiego). He is an internationally recognized data mining andpredictive analytics expert with over two decades experience infraud detection, risk modeling, text mining, personalityassessment, planned giving, toxicology, and other applications. Heis also Chief Scientist of SmarterRemarketer, a company focusing onbehaviorally- and data-driven marketing and web analytics.