Topics
- Machine Learning and Visual Knowledge Discovery
- Hyperparameter Optimization in Machine Learning
- Label the Many with a Few
- Methods for dimensionality reduction and data projection including linear and non-linear approaches
- Topological machine learning including deterministic and probabilistic approaches
- An overview of the main methods for matrix and tensor decompositions