Distributed Data Mining Lab Course SoSe 19

Type:	Master Lab Course 6 P (IN2106, IN4176)
Ects:	10
Supervisors	Dr. Lothar Richter, Dmitrii Nechaev
Rotation:	weekly meeting of 2 hours, time slot: Wednesday 13 - 15, room 01.09.034
Rooms:	01.09.034 for the weekly meeting
Language:	English
Announcements:	There are two identical pre-meetings: Tue, Feb 5th, 4.30 pm and Thu, Feb 7th, 3.30 pm. Room FMI 01.09.034

Content

The character of this lab course will be highly explorative and technical oriented and covers the following (among others). Since the syllabus is continuously evolving and updating the mentioned topics might still change:

Hadoop File System
Exploration and Comparison of Hadoop, Spark and Dask
Installation/Configuration
Installation, Configuration and Application of the MLlib framework
MapReduce
Simple applications

Prerequisites

Basic experience in Data Mining / Machine Learning
Sound Linux administration/ command line skills
Good command of at least one of these programming lanuages: Java, Scala, Python

Resources

the wiki could be reached this link
the slack channel can be found here
IDs for transmembrane clusters

Slides

Feb 5th / Feb 7th Premeeting