Chicago Machine Learning Meetup

May's meetup will be in the "interactive study group" style. For this meetup, Xiao Dong will be leading the discussion on unsupervised learning and comparing these to supervised and semi-supervised techniques. Unsupervised learning refers to a collection of techniques that attempt to find structure in (unlabeled) data. These are generally exploratory techniques of which clustering is a prime example.

Materials

Clustering:

Andrew Ng Machine Learning Lecture 12 (http://www.youtube.com/watch?v=ZZGTuAkF-Hw&feature=related) (First 18 minutes)

K Means Clustering Lecture Notes by Andrew Ng (http://cs229.stanford.edu/notes/cs229-notes7a.pdf)

Craig Struble's Clustering Presentation (https://www.mscs.mu.edu/~cstruble/class/mscs228/fall2003/notes/cluster.ppt)

KNN classification:

A brief introduction to KNN (http://www.youtube.com/watch?v=4ObVzTuFivY)

Xiao Dong, PhD is a research scientist at University of Illinois Medical Center. Xiao's research experience related to Machine Learning includes applying supervised and unsupervised algorithms in Bioinformatics and Social Media analyses. Xiao is also a very active member in Ruby on Rails, Node.js and iOS communities.