Distributed Data Mining Lab Course WS 15/16

 

Type:

Master Lab Course 10 P, IN2106

Ects:

10

Supervisors

Dr. Lothar Richter

Rotation:

weekly meeting of 2 hours, time slot: Wednesday 13-15

Rooms:

01.09.034 for the weekly meeting

Language:

English

Announcements:

 

UPDATED:

All login are ready for pick-up

Kick-off Meeting Wed, Oct 21st 13-15 ct in room FMI 01.09.034

You can enroll to the wait list now via email to (richter (...) in.tum.de)

Content

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

  • Hadoop File System
  • Exploration and Comparison of Hadoop and/or Spark
  • Installation/Configuration
  • Installation, Configuration and Application of the (Mahout) / MLlib framework
  • MapReduce

Prerequisites

  • Basic experience in Data Mining / Machine Learning
  • Sound Linux administration/ command line skills

Resources

 

Slides

20151021 Introduction UPDATED with URLs

2015-07-05/07 Premeeting