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Example topics are * Parallel computation * Hashing and sketches * Random features * Optimization * Stochastic/online methods * Matrix/Tensor Analysis * Data screening * Compressed domain analysis |
Seminar “Machine Learning and Data Management”
Date |
Tuesdays 14.16 (The first day is 8.12.) |
Room |
TBD |
Trainers |
Shinichi Nakajima |
Contact |
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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