Large Scale Machine Learning Workshop Featuring CMU's Graphlab
Event Information
Description
MLconf presents:
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, IBM Watson, MapR, and many more. Follow @MLconf for updates, discounts and free tickets!
The Big Learning Workshop is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. 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.
Event Details
Schedule:
- 8am - 9am: Registration & Contintental Breakfast
- 9am - Presentations begin (See agenda below)
- 5pm - 7pm Networking with hosted bar / appetizers
Parking:
Click here for a complete list of nearby parking.
Posters/Demos
- Green Marl graph processing framework – Sungpack Hong, Oracle Labs
- Machine learning benchmark framework – Nicholas Kolegraff, Accenture
- TBD -Alexander Gray, Georgia Tech
- Alpine and MADLib Demo – Steven Hilion, Alpine Data Labs
- Disk-based Massive Graph Computation – Aapo Kyrola, CMU
- Titan: A Highly Scalable, Distributed Graph Database - Matthias Broecheler, Aurelius
- Distributed Active Graph Platform, Andrey Logvinov, Meralabs LLC
- Health Insights in Real-Time. Adam Sadilek, Andrew Abumoussa, Sean Brennan, Henry Kautz University of Rochester
- YarcData graph analytics contest, Monte LaBute, YarcData
Platinum Sponsor
Gold Sponsors
Bronze Sponsors
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