May 23, 2012 · 6:30 PM
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Come and join us this special evening on Mahout.
A great unique opportunity to listen, learn, and exchange ideas with Ted & Sean, two of the core Mahout Commiters, and also learn what amazing things Kris & Michael are doing.
What is Mahout? Mahout's goal is to build scalable machine learning libraries
Mahout supports mainly four use cases:
- Recommendation mining takes users' behavior and from that tries to find items users might like.
- Clustering takes e.g. text documents and groups them into groups of topically related documents.
- Classification learns from exisiting categorized documents what documents of a specific category look like and is able to assign unlabelled documents to the (hopefully) correct category.
- Frequent itemset mining takes a set of item groups (terms in a query session, shopping cart content) and identifies, which individual items usually appear together.
6.30pm Welcome and networking, free pizza+beer!
7.00pm Talks start
Kris Jack (Sr. Data Mining Engineer at Mendeley, Mahout document recommender systems)
Michael Cutler (CTO at Tumra http://tumra.com/, Astrophysicist, tools for Mahout)
Notoriously Random Free Data Science Books and some surprises!
Sean Owen (core Mahout commiter, author of Mahout in Action, and new startup http://myrrix.com/ )
Ted Dunning (core Mahout commiter, architect at MapR, and author of Mahout in Action)
9pm Event Ends