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|| Date || TBD || || Date || First meeting: TBD, Presentation: TBD ||
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|| Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning II" || || Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning I" ||
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Guidance and and the paper list.
[[attachment:PaperList.pdf]]

Seminar “Machine Learning and Data Management”

Date

First meeting: TBD, Presentation: TBD

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
  • Scalable Bayesian Learning
  • Random features
  • Optimization
  • Stochastic/online methods
  • Boosting
  • Dimensionality reduction/Visualization

IDA Wiki: Main/WS19_MLDM (last edited 2019-12-19 11:15:28 by ShinichiNakajima)