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|| Trainers || Shinichi Nakajima ||
|| Contact || nakajima@tu-berlin.de ||
|| Trainers || Shinichi Nakajima, Mattihias Böhrm ||
|| Contact || nakajima@tu-berlin.de, matthias.boehm@tu-berlin.de ||

Joint Seminar on Machine Learning and Data Management Systems

Date

First meeting: Wednesday 1.6.2022, 14-15, Presentation: Wednesday 13.7.2022, 14-16

Room

First meeting: Via Zoom (link can be found in ISIS page: https://isis.tu-berlin.de/course/view.php?id=29925), Presentation: MAR4.033

Trainers

Shinichi Nakajima, Mattihias Böhrm

Contact

nakajima@tu-berlin.de, matthias.boehm@tu-berlin.de

Credits

3 ECTS, Elective in the modules "Machine Learning I", "Machine Learning II", and "Cognitive Algorithms"

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

  • Alignment of Multi-modal Data
  • Compression in ML Systems
  • Data Augmentation and Distillation
  • Data Cleaning for ML
  • Federated Data Preparation and Learning
  • Sparsity Exploitation in ML Systems
  • Model Debugging, Bias, Fairness
  • Deep generative models
  • Parallel computation
  • Hashing and sketches
  • Auto ML
  • Scalable Bayesian Learning
  • Random features
  • Optimization
  • Stochastic/online methods
  • Ensemble learning
  • Dimensionality reduction/Visualization

IDA Wiki: Main/WS22_MLDMS (last edited 2022-10-12 11:24:06 by ShinichiNakajima)