2009
An Introduction to Machine Learning with Applications in R:
Classification Trees, Random Forests and Boosting
by Carolin Strobl and
Torsten Hothorn
Date:
Friday, March 13, 2-6 pm.
Slides:
The slides as used in Dresden are available as 4up PDF. We will provide
hard-copies on-site.
Software:
Please install packages party
and mboost
as well as
Biobase
and ipred in case you want to
try the examples on your own laptop (the lecture room is not equipped with
computers).
Examples:
Part I: Trees and Friends
Part II: Model-based Boosting