# Algorithms for Modern Massive Data Sets (MMDS), UC Berkeley, June 21-24 – Register until June 12

MMDS 2016 will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. Register until June 12.

**The Workshop on Algorithms for Modern Massive Data Sets (MMDS)**will be held again this year at University of California, Berkeley June 21-24, 2016. Registration for MMDS 2016 is now available at:

mmds-data.org/home/registration

**until June 12, 2016.**

MMDS 2016 will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. The goals of MMDS 2016 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.

MMDS 2016 will have four days of presentations by experts from academia and industry as well as discussion and poster presentations.

Planned workshop themes include:

- large-scale statistical data analysis;
- scientific and industrial applications;
- algorithmic and statistical approaches to data;
- matrix and graph methods; and large scale computing and machine learning.

**mmds-data.org**.