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| || Date || TBA || || Room || 4.033 || |
|| Date || First meeting: TBD, Presentation: TBD || || Room || TBD || |
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| || Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning II" || | || Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning I" || |
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| * 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 |
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
- Scalable Bayesian Learning
- Random features
- Optimization
- Stochastic/online methods
- Boosting
- Dimensionality reduction/Visualization