Machine Learning Meetup Notes: 2010-05-26

From Noisebridge
(Difference between revisions)
Jump to: navigation, search
(Created page with '*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…')
 
Line 8: Line 8:
 
*Brainstorming on how to reduce other data and compute new features
 
*Brainstorming on how to reduce other data and compute new features
 
**Tom assigned to k-means clustering of skills
 
**Tom assigned to k-means clustering of skills
 +
**Andy assigned to computing new features: step/problem = student IQ, step complexity
 +
**

Revision as of 21:45, 26 May 2010

  • 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
    • Andy assigned to computing new features: step/problem = student IQ, step complexity
Personal tools