Hilfe Warenkorb Konto Anmelden
 
 
   Schnellsuche   
     zur Expertensuche                      
Applied Predictive Analytics - Principles and Techniques for the Professional Data Analyst
  Großes Bild
 
Applied Predictive Analytics - Principles and Techniques for the Professional Data Analyst
von: Dean Abbott
Wiley, 2014
ISBN: 9781118727935
456 Seiten, Download: 10731 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: A (einfacher Zugriff)

 

 
eBook anfordern
Kurzinformation

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.



DEAN ABBOTT is President of Abbott Analytics, Inc. (San Diego). He is an internationally recognized data mining and predictive analytics expert with over two decades experience in fraud detection, risk modeling, text mining, personality assessment, planned giving, toxicology, and other applications. He is also Chief Scientist of SmarterRemarketer, a company focusing on behaviorally- and data-driven marketing and web analytics.



nach oben


  Mehr zum Inhalt
Kapitelübersicht
Kurzinformation
Leseprobe
Blick ins Buch
Fragen zu eBooks?

  Navigation
Belletristik / Romane
Computer
Geschichte
Kultur
Medizin / Gesundheit
Philosophie / Religion
Politik
Psychologie / Pädagogik
Ratgeber
Recht
Reise / Hobbys
Sexualität / Erotik
Technik / Wissen
Wirtschaft

  Info
Hier gelangen Sie wieder zum Online-Auftritt Ihrer Bibliothek
© 2008-2024 ciando GmbH | Impressum | Kontakt | F.A.Q. | Datenschutz