The Shapley Decomposition is a model-agnostic tool which is able give...
Introduction of Kalman filter including the background, calculation...
The Shapley Decomposition is a model-agnostic tool which is able give a variable importance measure on a local level.
This course includes the work of Kainat Khowaja and her PhD supervisor towards exploring the random forests, and all the rele..
Master thesis presentation
We will mainly focus on Latent Dirichlet Allocation (LDA) and its extensions.
Introduction of Kalman filter including the background, calculation methodology and application.
Short introduction to Reinforcement Learning, mostly Q-learning
After a general introduction on neural networks, we explain different recurrent neural networks architectures such as GRU an..