Machine Learning for Robotics Training Course
21 hours (usually 3 days including breaks)
This course introduce machine learning methods in robotics applications.
It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.
After short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.
- Probabilistic Graphical Models
- Kernel Methods
- Gaussian Processes
- Evaluation and Model Selection
- Sampling Methods
- Random Forests
Bookings, Prices and Enquiries
|Number of Delegates||Private Remote|
|Number of Delegates||Public Classroom|
|Location||Date||Course Price [Remote/Classroom]|