engl. Beschreibung/ Kurzkommentar |
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. |