Machine Learning for Robotics Training Course
21 hours (usually 3 days including breaks)
High School maths, basics knowledge of statistics
This course introduces 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 a 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]|