Introduction to Data Science

  • Roger Barga
  • Valentine Fontama
  • Wee Hyong Tok

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 it matters now. This chapter will highlight the data science process with guidelines and best practices. It will introduce some of the most commonly used techniques and algorithms in data science. And it will explore 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

© Roger Barga, Valentine Fontama, and Wee Hyong Tok 2015

Authors and Affiliations

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

Personalised recommendations