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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 |
TBA |
Room |
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