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| Describe Main/SS16_SeminarDataManagement here. | = Seminar “Machine Learning and Data Management” = || Date ||TBD|| || 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 * Random features * Optimization * Stochastic/online methods * Matrix/Tensor Analysis * Data screening * Compressed domain analysis * Boosting [[attachment:PaperList.pdf]] On the first day ('''7.12.2015'''), each student should choose a paper from a list, on which he/she will give a presentation on '''15.2.2016'''. |
Seminar “Machine Learning and Data Management”
Date |
TBD |
Room |
MAR 4.033 |
Trainers |
Shinichi Nakajima |
Contact |
|
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
- Boosting
On the first day (7.12.2015), each student should choose a paper from a list, on which he/she will give a presentation on 15.2.2016.