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| Describe Main/SS17_MLDM here. | = Seminar “Machine Learning and Data Management” = || Date || First meeting: TBD, Presentation: TBD|| || 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 |
Seminar “Machine Learning and Data Management”
Date |
First meeting: TBD, Presentation: TBD |
Room |
MAR 4.033 |
Trainers |
Shinichi Nakajima |
Contact |
|
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