San Francisco, CAUSA
Hometown: Grand Rapids
July 18, 2012
Clustering, general linear models, classification
Business or application cases of modeling. IE: Here is my problem. I decided to use model X because model Y was over fitted, and model X performed better in cross validation etc. Here is how I did it in R.
Yes. Mostly, community finding approaches.
Fresh stats undergrad. Just started as a data scientist at LinkedIn. Super interested in all things data. Plans to eventually return for a PhD in machine learning. Most excited by community detection, dynamic networks, and dimension reduction.