190.013 Exercises in Machine Learning (2SH P, SS 2021/22)

This course is part of the lecture 150.012 machine learning

Enrolling for this exercise is a mandatory requirement for passing the machine learning lecture. 

Links and Resources

Location & Time

Course Topics

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.