50+ days of Machine Learning

 Hello :) Today is Day 106! A quick summary of today: covered the next part of XCS224W: ML with Graphs  - Community structure in networks Covered topics: Community detection, Granovetter's social science study, Modularity, the Louvain algorithm, detecting overlapping communities, Community Affiliation Graph Model (AGM), graph likelihood, BigCLAM model Today's post is earlier than usual because I am a bit sick and cannot breath well. Nevertheless, I am glad I gathered the power to go over this lecture. ^^  That is all for today! See you tomorrow :)