SIS code: 
Semester: 
winter
E-credits: 
3
Examination: 
0/2 C

The aim of the course is to introduce methods required in natural language processing (processing huge data sets in distributed environment and performing machine learning) and show how to effectively execute them on ÚFAL computational Linux cluster. The course will cover ÚFAL network and cluster architecture, SGE (Sun/Oracle/Son of Grid Engine), related Linux tools and best practices.

The course follows the outline in the ÚFAL wiki: Introduction to ÚFAL (you will need an ÚFAL wiki account to access that site; each ÚFAL PhD student is entitles to get a wiki account).

The whole course will be taught in several first weeks of the semester. If you plan to attend the course, contact Martin Popel and Rudolf Rosa (who teach the course in 2017) by October 3.