MLlib: Scalable Machine Learning on Spark

MLlib: Scalable Machine Learning on Spark
Xiangrui Meng
Collaborators: Ameet Talwalkar, Evan Sparks, Virginia Smith, Xinghao Pan, Shivaram Venkataraman, Matei Zaharia, Rean Griffith, John Duchi, Joseph Gonzalez, Michael Franklin, Michael I. Jordan, Tim Kraska, etc

MLlib is a Spark subproject providing machine learning primitives: initial contribution from AMPLab, UC Berkeley shipped with Spark since version 0.8, 33 contributors

Download Presentation (LINK to .PFF)

Resources

Website: http://spark.apache.org

Tutorials: http://ampcamp.berkeley.edu

Spark Summit: http://spark-summit.org

Github: https://github.com/apache/spark

Mailing lists: user AT spark.apache.org
 dev AT spark.apache.org

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