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Introduction to Statistical and Machine Learning Algorithms

  • Roger Barga
  • Valentine Fontama
  • Wee Hyong Tok
Chapter

Abstract

This chapter will serve as a reference for some of the most commonly used algorithms in Microsoft Azure Machine Learning. We will provide a brief introduction to algorithms such as linear and logistic regression, k-means for clustering, decision trees, decision forests (random forests, boosted decision trees, and Gemini), neural networks, support vector machines, and Bayes point machines.

Keywords

Support Vector Machine Decision Tree Hide Node Ensemble Model Decision Tree Algorithm 
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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