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Describe Main/WS15_SeminarDataManagement here. = 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.

Seminar “Machine Learning and Data Management”


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|| Date ||<#FF0000> Tuesdays 14.16 (The first day is 7.12.) The data has been changed!!!


/!\ Edit conflict - your version:


Date

<#FF0000> Mondays 14.16 (The first day is 7.12.) The date has been changed!!!


/!\ End of edit conflict


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)