Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst - Brossura

Abbott, Dean

Brossura

ISBN 10: 1118727967 ISBN 13: 9781118727966

Casa editrice: Wiley, 2014

Riassunto

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.

Su questo libro

Recensione

"This book provides an excellent background to predictive analytics" (BCS, December 2014)

L'autore

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.

Dettagli dell?edizione

• Editore: Wiley
• Data di pubblicazione: 2014
• ISBN 10: 1118727967
• ISBN 13: 9781118727966
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 456