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Overview

Credits: SWS : 2+1, Credits 4+2

Participants: Min: 1 Max: 8 Expected: 8

Course type : Seminar

Language: english

Slides

The slides for the introduction can be found here.

Description

You want to know what the next big thing will be in data science? In this seminar you analyze scientific publications and other text sources to find patterns of occurence for hot data science topics such as Random Forests, Support Vector Machines and Deep Learning. Can this information be used to predict upcoming trends and hype in data science? Participants are expected to retrieve and analyze various text sources, extract and visualize information and apply data mining algorithms to detect patterns that help to predict future hot topics.

A sucessful participation of the seminar includes:

  • 20 to 25 minutes presentation of the results.
  • Documented and reusable solution of the presented approach.
  • 10-15 pages project-report.

Important

Registration via StudIS required.

Preliminary discussion of the topics: We 04/13/2016, 11:00 - 12:00 am in room Z816