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Seminar “Machine Learning and Data Management”

Date

First meeting: Thursday 17.11.2016 14-16, Presentation: Thursday 26.1.2017 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 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

Schedule:

  • 23.11.2016: List of papers PaperList.pdf ready. 30.11.2016: Each student should select a paper. 7.12.2016: Advisers assigned. 26.1.2017: Presentation.

IDA Wiki: Main/WS16_SeminarDataManagement (last edited 2016-11-23 11:40:14 by ShinichiNakajima)