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Introduction to Data Science

  • Roger Barga
  • Valentine Fontama
  • Wee Hyong Tok
Chapter

Abstract

So what is data science and why is it so topical? Is it just another fad that will fade away after the hype? We will start with a simple introduction to data science, defining what it is, why it matters, and why now. This chapter highlights the data science process with guidelines and best practices. It introduces some of the most commonly used techniques and algorithms in data science. And it explores ensemble models, a key technology on the cutting edge of data science.

Keywords

Data Science Ensemble Model Decision Tree Algorithm Adaptive Resonance Theory Boost Decision Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Valentine Fontama 2014

Authors and Affiliations

  • Roger Barga
    • 1
  • Valentine Fontama
    • 1
  • Wee Hyong Tok
    • 1
  1. 1.WAUS

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