This site contains the lecture materials for the Bayesian Machine Learning lecture (5 February 2026, 11:00 AM) and the Active Inference lecture (February 6th, 11:00 AM)
You can access all lecture materials online through the links in the table below:
| Date | lesson | materials |
|---|---|---|
| 5-Feb-2025 (Thu) | 1: Probability Theory 2: Bayesian Machine Learning |
PT BML |
| 6-Feb-2026 (Fri) | 3: Variational Inference 4: Active Inference 5: factor graphs (optional) |
VI AIF, AIF slides FFG |
The course materials are derived from a full MSc-level course on Bayesian Machine Learning and Information Processing, which is taught annually at TU Eindhoven by the same instructor. For additional background and content, please refer to the materials of that course.
If necessary, you can download the lecture notes in PDF format here:
- lecture notes PDF version 21-Jan-2026.
However, we recommend that you read the lecture notes in your browser to take advantage of the interactive materials that we prepared for this course, based on Pluto.jl.
- brew install
poppler - Open a terminal in the
mlss-2026folder - Run
julia tools/generate_pdf.jlin the root folder
This gives an output PDF file. Then you should:
- Go to https://github.com/bertdv/mlss-2026/releases and make a new release (mlss2, mlss3, etc)
- Attach the PDF as "Binary" of the release, and publish
- Take the new PDF URL, and write it in README.md