Editing Machine Learning Meetup Notes: 2010-05-26

*Andy gave overview of where we're at with KDD data
*Mike S gave presentation:
**Gaussian Mixture Models
**k-means clustering
**very basic expectation-maximization
*Brainstorming session on how to reduce skill set column
**Tom tried to quantify opportunity per skills per row as high dimensional vector
*Brainstorming on how to reduce other data and compute new features
**Tom assigned to k-means clustering of skills