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|| Date || First meeting: Friday 29.5.2020, 14-15, Presentation: Friday 20.7.2020, TBD ||
|| Room || Online ||

For the first meeting: please join to
https://tu-berlin.zoom.us/j/94964410259?pwd=eWhPbVc4M0xjeHR6M1dDMktERk85Zz09

|| Date ||<#FF0000>First meeting: Friday 5.6.2020, 14-15, Presentation: Monday 13.7.2020, TBD ||
|| Room || Online (https://tu-berlin.zoom.us/j/94964410259?pwd=eWhPbVc4M0xjeHR6M1dDMktERk85Zz09) ||
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|| Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning II" || || Credits || 3 ECTS, Elective in the modules "Machine Learning I", "Machine Learning II", and "Cognitive Algorithms" ||
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 * Boosting
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Tentative paper list:
[[attachment:PaperList.pdf]]

Seminar “Machine Learning and Data Management”

For the first meeting: please join to https://tu-berlin.zoom.us/j/94964410259?pwd=eWhPbVc4M0xjeHR6M1dDMktERk85Zz09

Date

First meeting: Friday 5.6.2020, 14-15, Presentation: Monday 13.7.2020, TBD

Room

Online (https://tu-berlin.zoom.us/j/94964410259?pwd=eWhPbVc4M0xjeHR6M1dDMktERk85Zz09)

Trainers

Shinichi Nakajima

Contact

nakajima@tu-berlin.de

Credits

3 ECTS, Elective in the modules "Machine Learning I", "Machine Learning II", and "Cognitive Algorithms"

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

  • Deep generative models
  • Parallel computation
  • Hashing and sketches
  • Scalable Bayesian Learning
  • Random features
  • Optimization
  • Stochastic/online methods
  • Dimensionality reduction/Visualization

Tentative paper list: PaperList.pdf

IDA Wiki: Main/SS20_MLDM (last edited 2020-06-09 09:23:56 by ShinichiNakajima)