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|| Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning I" || || Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning II" ||
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[[attachment:PaperList.pdf]]

On the first day ('''7.12.2015'''), each student should choose a paper from a list,
on which he/she will give a presentation on '''15.2.2016'''.

Seminar “Machine Learning and Data Management”

Date

TBD

Room

MAR 4.033

Trainers

Shinichi Nakajima

Contact

nakajima@tu-berlin.de

Credits

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

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

IDA Wiki: Main/SS16_SeminarDataManagement (last edited 2016-05-31 17:51:50 by ShinichiNakajima)