bump demos and faq to get menubar updated

avehtari · Aug 12, 2024 · 54fdff9 · 54fdff9
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diff --git a/FAQ.Rmd b/FAQ.Rmd
@@ -241,7 +241,7 @@ Here are some great Aalto courses that are using Bayesian inference
 
 - [CS-E4820 - Machine Learning: Advanced Probabilistic Methods](https://mycourses.aalto.fi/course/info.php?id=40717) (common probabilistic models in machine learning, such as sparse Bayesian linear models, Gaussian mixture models and factor analysis models, variational inference)
 - [ELEC-E8106 - Bayesian Filtering and Smoothing](https://mycourses.aalto.fi/course/info.php?id=39443) (dynamical systems, time series, tracking)
-- [CS-E4895 - Gaussian Processes](https://mycourses.aalto.fi/course/info.php?id=40732)
+- [CS-E4895 - Gaussian Processes](https://mycourses.aalto.fi/course/view.php?id=44810)
 - [CS-E5795 - Computational Methods in Stochastics](https://mycourses.aalto.fi/course/info.php?id=40704) (more about MC, MCMC, HMC)
 - [MS-E1654 - Computational Inverse Problems](https://mycourses.aalto.fi/course/info.php?id=40592)
-- Bayesian workflow course (spring 2024, we'll advertise later in BDA Zulip)
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diff --git a/demos.Rmd b/demos.Rmd
@@ -120,3 +120,4 @@ Corresponding demos were originally written for Matlab/Octave by [Aki Vehtari](h
 - matplotlib 2
 - pandas (for some demos)
 - pystan (for some demos)
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Original file line number	Diff line number	Diff line change
Expand Up		@@ -120,3 +120,4 @@ Corresponding demos were originally written for Matlab/Octave by [Aki Vehtari](h
		- matplotlib 2
		- pandas (for some demos)
		- pystan (for some demos)