Sunday, July 12, 2015

Overview of Machine Learning Techniques in R

Whenever we do something as simple as a Google search, we benefit from machine learning. Demand is high for those with machine learning skills - a search of LinkedIn reveals 9,369 results for "machine learning".

This post gives an overview of packages (and functions within those packages) one can use to conduct machine learning techniques. A lot of this material is drawn from the fourth edition of the textbook Introduction to Statistical Learning.

  1. Linear regression
Library: leaps
Functions: regsubsets
  1. Decision trees
  2. Support Vector Machines
  3. Unsupervised learning
Subsequent posts will elaborate on these in more detail.

1 comment: