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|| Date ||TBD|| || Date ||<#FF0000> First meeting: '''Thursday 9.6.2016 14-16''', Presentation: '''Friday 15.7.2016 14-18'''||
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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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 * Scalable Bayesian Learning
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 * Matrix/Tensor Analysis
 * Data screening
 * Compressed domain analysis
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 * Dimensionality reduction/Visualization
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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'''.
Each student should choose a paper from a list on '''9.6.2016''',
and give a presentation on '''15.7.2016'''.

Seminar “Machine Learning and Data Management”

Date

First meeting: Thursday 9.6.2016 14-16, Presentation: Friday 15.7.2016 14-18

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

PaperList.pdf

Each student should choose a paper from a list on 9.6.2016, and give a presentation on 15.7.2016.

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