The course material is organised into two interactive Notebooks, where the participants can actively follow the instructors' examples, as well as explore the provided source code. In this repository, ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...