Big Data Architectures for Machine Learning and Data Mining - Einzelansicht

Big Data Architectures for Machine Learning and Data Mining

The ever‐increasing flood of digital information poses new challenges to data mining and
machine learning practitioners.
Data sets of interest routinely reach scales that call for distributed processing architectures. In this seminar,
participants will acquaint themselves with a selection of data processing tools based on the Apache Hadoop
platform. In a practical part, seminar participants will work on relevant data mining problems. The Webis research
group operates a large, modern high‐performance compute cluster (about 1600 CPU cores,
2.5 Petabytes of disk space), which will be put to use in the course of this seminar. Students will receive training in
the fundamentals of hardware and software architectures of big data cluster technologies, and learn the skills
necessary to apply them. Thanks to the size of the cluster and the Webis group's expertise with big data
technologies, this seminar shall provide a level of training that is currently exceptional in an academic context.

Termin der ersten Veranstaltung: nach Vereinbarung

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seminar kick-off meeting: t.b.a.

eigenständige Vorträge, Praktikum

M.Sc. Medieninformatik / Computer Science and Media / Computer Science for Digital Media

offen für M.Sc. Human-Computer Interaction, M.Sc. Digital Engineering