Links and Resources
Location & Time
The exercise is based on three graded assignments on Probabilistic Regression, Probabilistic Inference and on Probabilistic Optimization. The assignments will include algorithmic implementations in Python and will be presented during the exercise sessions.
The Robot Operating System (ROS) will also be part in some assignments as well as the simulation environment Gazebo. To experiment with state-of-the-art robot control and learning methods Python will be used.
Learning objectives / qualifications
Hands-on experience with machine learning methods.