Presentation by Professor Trevor Hastie, Chairman and Professor Statistics, Stanford University. As their ability to capture and organize large amounts of data
increases, organizations rely more on datamining technology to learn
from this valuable resource. We will give several examples of this
process, based on our our own experiences. This talk will give a
brief overview of some of the most promising new methods for
"supervised" learning, including the lasso, random forests, boosting,
and SVMs.