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On the first day (8.12), each student should choose a paper from a list, On the first day (7.12), each student should choose a paper from a list,

Seminar “Machine Learning and Data Management”


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Room

MAR 4.033

Trainers

Shinichi Nakajima

Contact

nakajima@tu-berlin.de

Credits

3 ECTS, Elective in the M.Sc. module "Machine Learning I"

This is a joint research-oriented seminar of machine learning group and data management group. Students are required to present a selected topic.

Example topics are

  • Parallel computation
  • Hashing and sketches
  • Random features
  • Optimization
  • Stochastic/online methods
  • Matrix/Tensor Analysis
  • Data screening
  • Compressed domain analysis
  • Boosting

On the first day (7.12), each student should choose a paper from a list, on which he/she will give a presentation in February.

IDA Wiki: Main/WS15_SeminarDataManagement (last edited 2015-12-16 16:08:13 by ShinichiNakajima)