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:
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.