|
Size: 646
Comment:
|
Size: 754
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 3: | Line 3: |
| || Date || TBA || || Room || 4.033 || |
|| Date || First meeting: 16.11.2018, 14-15, Presentation: 25.1.2019 || || Room || MAR 4.033 || |
| Line 7: | Line 7: |
| || Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning II" || | || Credits || 3 ECTS, Elective in the M.Sc. module "Machine Learning I" || |
| Line 13: | Line 13: |
| // * Parallel computation // * Hashing and sketches // * Scalable Bayesian Learning // * Random features // * Optimization // * Stochastic/online methods // * Boosting // * Dimensionality reduction/Visualization |
* Parallel computation * Hashing and sketches * Scalable Bayesian Learning * Random features * Optimization * Stochastic/online methods * Boosting * Dimensionality reduction/Visualization Guidance and and the paper list. [[attachment:PaperList.pdf]] |
Seminar “Machine Learning and Data Management”
Date |
First meeting: 16.11.2018, 14-15, Presentation: 25.1.2019 |
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
- Scalable Bayesian Learning
- Random features
- Optimization
- Stochastic/online methods
- Boosting
- Dimensionality reduction/Visualization
Guidance and and the paper list. PaperList.pdf