Statistical Machine Learning with R

Contributed Talk | Day 2 | 10:25 am | 40 Minute Duration | Grand Gallery B
  • David Zeitler
    Grand Valley State University Associate Professor of Statistics

Statistical Machine Learning with R

Contributed Talk | Day 2 | 10:25 am | 40 Minute Duration | Grand Gallery B

There are many advanced machine learning techniques available from R which are best addressed individually, not touched on in a single hour. In order to lay some groundwork for those, we will take a brief look at some of the most basic machine learning techniques implemented in R. As time permits we will look at:

  • Linear regression
  • Logistic regression
  • Linear and Quadratic Discriminant Analysis
  • Support Vector Machines

— A West Michigan R Users Group session —