BMLIP
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bertdv
Course 5SSD0 - Bayesian Machine Learning and Information Processing
(this is for the 2023/2024 edition). I have received some feedback from past students that they find the transition to Julia difficult as it comes on top of conceptually difficult...
Use jmd to write the lectures, then export to various formats. eg see workflow in https://github.com/mitmath/18S191 Use pluto.jl rather than jupyter ipynb notebooks. Static display with github's htmlpreview, eg https://htmlpreview.github.io/?https://github.com/mitmath/18S191/blob/master/homework/homework0/hw0.html
The Julia example (cart parking) in the active inference lesson (https://nbviewer.org/github/bertdv/BMLIP/blob/master/lessons/notebooks/Intelligent-Agents-and-Active-Inference.ipynb) is based on ForneyLab. Please move the code to ReactiveMP.
Please generate PDFs of all lecture notes and replace the old ones. The new PDFs should be accessible from the links at the homepage https://biaslab.github.io/teaching/bmlip/ .
At the BMLIP homepage the following SW instructions are given: ``` - Please install Miscrosoft's VS code editor and add the Jupyter notebook extension. - Please install Julia version 1.9...
In the [Variational Bayes lesson](https://nbviewer.org/github/bertdv/BMLIP/blob/master/lessons/exercises/Exercises-Latent-Variable-Models-and-VB.ipynb), the simulation crashes if I choose a different number of classes (e.g. K=2). I would like to be able to run the simulation for a...