tutorial 11

Author: Shravan Goswami

tutorials/11-probabilistic-pca/index.qmd

@@ -102,9 +102,9 @@ Random.seed!(1789);
 All packages used in this tutorial are listed here.
 You can install them via `using Pkg; Pkg.add("package_name")`.
 
-Package usages:
 
 ::: {.callout-caution}
+## Package usages:
 We use `DataFrames` for instantiating matrices, `LinearAlgebra` and `FillArrays` to perform matrix operations;
 `Turing` for model specification and MCMC sampling, `ReverseDiff` for setting the automatic differentiation backend when sampling.
 `StatsPlots` for visualising the resutls. `, Measures` for setting plot margin units.