君莫要逐云追梦

_{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:

• 1. Correcting spellings (Mar. 28)
• 1. Recommending items (Apr. 04)
• 1. Discovering groups (Apr. 11)
• 1. Searching pages (Apr. 18)
• 1. Optimizing preferences (Apr. 25)
• 1. Predicting price (May 02)
• 1. Measuring expertise (May 09)
• 1. Modeling decisions (May 16)
• 1. Predicting price (May 23)
• 1. Evolving intelligence (May 30)

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!