I will be teaching a short course at the Midwest Biopharmaceutical Statistics Workshop called "Predictive Modeling in R". The four hour course is on Monday, May 24th.
The course covers modeling strategies where prediction is the main goal (e.g. machine learning, pattern recognition, etc). R will be used to demonstrate general techniques for data splitting, pre-processing, resampling/cross-validation, model tuning and prediction. Four models will be specifically discussed: classification trees, boosted trees, support vector machines and partial least squares. If time allows, there are additional modules on variable importance and parallel processing algorithms. The conference web site is http://www.mbswonline.com/ Max ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
