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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

nakajima@tu-berlin.de

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

IDA Wiki: Main/WS18_MLDM (last edited 2019-01-21 15:36:48 by ShinichiNakajima)