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.