GraphLab workshop presentations

Some of the GraphLab presentations are out, enjoy!

• GraphLab Keynote Slides Carlos Guestrin
• Large scale ML challenges Ted Willke, Intel Labs
• Bloom: Disorderly Programming for Distributed Systems (30 mins) Joseph Hellerstein, UC Berkeley 
• Schism: Graph Partitioning for Scalable Query Processing on Large OLTP Databases Sam Madden – MIT 
• Visualization and Interactive Data Analysis Jeffrey Heer, Stanford
• The ParameterServrer Alexander Smola, Yahoo! Labs
• Vowpal Wabbit for Extremely Fast Machine Learning Lihong Li, Yahoo! Research
• Cassovary Graph Processing System Pankaj Gupta, Twitter 
• Tera Scale Deep Learning Quoc Le, Stanford & Google
• Identifying densely overlapping clusters in large networks Jure Leskovec, Stanford 
• Large-scale Single-pass k-Means Clustering at Scale Ted Dunning, MapR Technologies 
• Recommendations @Netflix: Big Data, Smart Models & Scalable Systems Xavier Amatriain - Netflix
• Large scale ML at Pandora Tao Ye, Pandora Internet Radio
• NIMBLE - A toolkit for the implementation of parallel data mining and machine learning algorithms on Map-Reduce, Amol Ghoting, IBM Watson (presented by: Prabhanjan Kambadur)
• Machine learning in One Kings Lane, Mohit Singh, One Kings Lane

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