Predictive Analytics For Dummies
By Anasse Bari, Mohamed Chaouchi, Tommy Jung
Publisher: Wiley / For Dummies
Final Release Date: March 2014
Pages: 360

Learn to:

  • Analyze structured and unstructured data
  • Use algorithms and data analysis techniques
  • Build clustering, classification and statistical models
  • Apply predictive analytics to your website and marketingefforts

A practical guide to using Big Data and technology todiscover real-world insights

Predict the future! Data is growing exponentially and predictiveanalytics is your organization’s key to making use of it tocreate a competitive advantage. This comprehensive resource willhelp you define real-world projects and takes a step-by-stepapproach to the technical aspects of predictive analytics so youcan get up and running right away.

  • Enter the arena — jump into predictive analytics bydiscovering how data can translate to a competitive advantage
  • Incorporating algorithms — discover data models, how toidentify similarities and relationships, and how to predict thefuture through data classification
  • Developing a roadmap — prepare your data, create goals,structure and process your data, and build a predictive model thatwill get stakeholder buy-in
  • Programming predictive analytics — use in-depth tips toinstall software, modules, and libraries to get going withprediction models
  • Making predictive analytics work — gain an understandingof the typical pushback on predictive analytics adoption and how toovercome it

Open the book and find:

  • Real-world tips for creating business value
  • Common use cases to help you get started
  • Details on modeling, k-means clustering, and more
  • How you can predict the future with classification
  • Information on structuring your data
  • Methods for testing models
  • Hands-on guides to software installation
  • Tips on outlining business goals and approaches
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Strong on theory

By Bigblackchair

from Santa Fe, NM

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  • Accurate


  • Not comprehensive enough

Best Uses

  • Novice

Comments about oreilly Predictive Analytics For Dummies:

Stronger on theory than practicalities, but it has enough of the latter to make it a well rounded book.

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