The study group of programing collective intelligence

#collective intelligence #machine learning #data mining

bell Figure by Kyle Szostek

We are setting up a study group called “Programing Collective Intelligence”. A major target of this group is to understand the algorithms behind the Web applications we are using everyday, such as recommendation systems on Amazon and anti-spam algorithms in Gmail. The best way to understand is to replicate. So we will do some Python programing.

We will use this book as a reference and publish some of our practices here. We meet every friday afternoon from 2:00 pm to 5:00 pm at Ostrom Lab. The topics that we will go though are listed as follows:

The current members of this group include

+ Lingfei Wu (organizer, Lingfei Dot Wu At asu DOT edu, post-doc in CSID)
+ Kehinde R Salau (post-doc in th Department of Mathematics, University of Arizona)
+ Oyita Udiani (Applied Mathematics for the Life + Social Sciences, SHESC)
+ Jordan Bates (the same as above)
+ Komi Messan (the same as above)
+ Daniel Burkow (the same as above)
+ Diego Chowell (the same as above)
+ Na Zhang (the same as above)
+ Moon Zhang (Science in Business Analytics, W. P. Carey)
+ Shan Yuan (the same as above)
+ Linghuan zeng (the same as above)
+ Jinxue Zhang (GCSE)

CSID stands for the Center for the Study of Institutional Diversity

SHESC stands for School of Human Evolution and Social Change

W. P. Carey stands for W. P. Carey School of Business

GCSC stands for Goldwater Center For Science and Engineering

During the meetings, we will divide into three or more groups, each one has their own project. Members are also encouraged to bring their own data mining/machine learning problems into discussions.

Let’s Rock!