# MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets, Berkeley

The MMDS 2014 workshop (Berkeley, June 17-20) will bring top researchers to address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. Early registration deadline May 1.

MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets

Dates: June 17-20, 2014

Location: UC Berkeley, Berkeley, CA

Website: mmds-data.org

Contact:

Early registration deadline: May 1, 2014.

Registration deadline: June 1, 2014.

Register at mmds-data.org/home/registration2014

You can apply to present a poster on registration page above.

Synopsis: The 2014 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2014) will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. The goals of MMDS 2014 are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets, and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote cross-fertilization of ideas.

Organizers:

Confirmed speakers from Berkeley, CMU, Databricks, Google, Harvard, IBM Research, JHU, MIT, Microsoft Research, Princeton, Stanford, UW, and more - see full list at mmds-data.org/

Dates: June 17-20, 2014

Location: UC Berkeley, Berkeley, CA

Website: mmds-data.org

Contact:

**organizers@mmds-data.org**Early registration deadline: May 1, 2014.

Registration deadline: June 1, 2014.

Register at mmds-data.org/home/registration2014

You can apply to present a poster on registration page above.

Synopsis: The 2014 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2014) will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. The goals of MMDS 2014 are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets, and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote cross-fertilization of ideas.

Organizers:

- Michael Mahoney (UC Berkeley),
- Alex Shkolnik (Stanford),
- Petros Drineas (RPI),
- Reza Zadeh (Stanford),
- Fernando Perez (UC Berkeley)

Confirmed speakers from Berkeley, CMU, Databricks, Google, Harvard, IBM Research, JHU, MIT, Microsoft Research, Princeton, Stanford, UW, and more - see full list at mmds-data.org/