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Describe Main/SS16_SeminarDataManagement here. = Seminar “Machine Learning and Data Management” =


|| Date ||<#FF0000> 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

[[attachment:PaperList.pdf]]

Each student should choose a paper from a list on '''9.6.2016''',
on which he/she will 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

PaperList.pdf

Each student should choose a paper from a list on 9.6.2016, on which he/she will give a presentation on 15.7.2016.

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