1. Large-Scale Machine Learning and Graphs Carlos Guestrin November 15, 2013© 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified,…

Slide 1Carnegie Mellon University Danny Bickson Yucheng Low Aapo Kyrola Carlos Guestrin Joe Hellerstein Alex Smola Parallel Machine Learning for Large-Scale Graphs Jay Gu…

Slide 1Carnegie Mellon Yucheng Low Aapo Kyrola Danny Bickson A Framework for Machine Learning and Data Mining in the Cloud Joseph Gonzalez Carlos Guestrin Joe Hellerstein…

Slide 1 Nathan Kohn BU MET [email protected] Thinking Big in Small Spaces One Hadoop Two Hadoop (Big Data & 21st Century Analytics in the Classroom) Stanislav Seltser BU…

Slide 1 Joseph Gonzalez Yucheng Low Aapo Kyrola Danny Bickson Joe Hellerstein Alex Smola Distributed Graph-Parallel Computation on Natural Graphs Haijie Gu The Team: Carlos…

GraphLab A New Parallel Framework for Machine Learning Carlos Guestrin Yucheng Low Aapo Kyrola Danny Bickson A Distributed Abstraction for Large-Scale Machine Learning Haijie…

GraphLab A New Parallel Framework for Machine Learning Joseph Gonzalez Joint work with Yucheng Low Aapo Kyrola Danny Bickson Carlos Guestrin Guy Blelloch Joe Hellerstein…

GraphLab A New Parallel Framework for Machine Learning Joseph Gonzalez Joint work with Yucheng Low Aapo Kyrola Danny Bickson Carlos Guestrin Guy Blelloch Joe Hellerstein…

Distributed Inference in Sensor Networks Machine Learning in the Cloud Yucheng Low Aapo Kyrola Danny Bickson Joey Gonzalez Carlos Guestrin Joe Hellerstein David O’Hallaron…

Nathan Kohn BU MET [email protected] Thinking Big in Small Spaces One Hadoop Two Hadoop (Big Data & 21st Century Analytics in the Classroom) Stanislav Seltser BU MET [email protected]…