= Joint Seminar on Machine Learning and Data Management Systems =


|| Date || First meeting: Tuesday 15.11.2022, 14-15, Presentation: Tuesday 24.1.2023 ||
|| Room ||  First meeting: Via Zoom  (find a link at the ISIS page: https://isis.tu-berlin.de/course/view.php?id=31940) , Presentation: MAR4.033 ||
|| Trainers || Shinichi Nakajima, Mattihias Böhm ||
|| 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