Join us on Monday, July 9th in San Francisco for a full-day workshop on Large Scale Machine Learning. Featuring CMU’s Graphlab and including presentations from Twitter, Pandora, Netflix, Intel Labs, MapR, and many more.
The GraphLab workshop on large scale machine learning is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. GraphLab is Carnegie Mellon’s large scale machine learning framework. The workshop will include demos and tutorials showcasing the next generation of the GraphLab framework, as well as lectures and demos from the top technology companies about their applied large scale machine learning solutions.
The workshop will be held on Monday, July 9th in San Francisco. Register today to enjoy early bird registration fee!
- GraphLab Version 2 Overview- Carlos Guestrin, Carnegie Mellon University
- Large scale ML challenges – Theodore Willke, Intel Labs
- TBD – Alexander Smola, Yahoo! Labs
- Large scale ML learning at MapR – Ted Dunning, MapR Technologies
- Large scale ML at Pandora – Tao Ye, Pandora Internet Radio
- TBD – Xavier Amatriain – Netflix
- Cassovary Graph Processing System – Pankaj Gupta, Twitter
More talks from our program committee/ external contributors to follow!
- Green Marl graph processing framework – Dr. Sungpack Hong, Oracle Labs
- Machine learning benchmark framework – Nicholas Kolegraff, Accenture
- TBD – Prof. Alexander Gray, Georgia Tech
- Alpine and MADLib Demo – Steven Hilion, Alpine Data Labs
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For more Machine Learning events see mlconf.com and follow @mlconf on twitter.