Getting Genetics Done

At our most recent R user group meeting we were delighted to have presentations from Mark Lawson and Steve Hoang, both bioinformaticians a...

For over 15 years, members of the computer science, machine learning, and data mining communities have gathered in a beautiful European loca...

I’m a bit exhausted from a week of excellent science at ICHG. First, let me say that Montreal is a truly remarkable city with fantastic f...

In my previous post I showed you how to randomly split up a dataset into training and testing datasets. (Thanks to all those who emailed me...

I recently analyzed some data trying to find a model that would explain body fat distribution as predicted by several blood biomarkers. I ha...

The authors here invited ACM KDD Innovation Award and IEEE ICDM Research Contributions Award winners to each nominate up to 10 best-known al...

A Beautiful WWW put together a great set of resources for getting started with machine learning in R.  First, they recommend the previousl...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman, one ...

Revolutions blog recently posted a link to R code by Joshua Reich with self-contained examples of using machine learning techniques in R, ...