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Shravan Goswami
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fixed minor issue in tutorial-11
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tutorials/11-probabilistic-pca/index.qmd

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@@ -103,9 +103,8 @@ All packages used in this tutorial are listed here.
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You can install them via `using Pkg; Pkg.add("package_name")`.
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Package usages:
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::: {.callout-tip}
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## hello
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::: {.callout-caution}
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We use `DataFrames` for instantiating matrices, `LinearAlgebra` and `FillArrays` to perform matrix operations;
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`Turing` for model specification and MCMC sampling, `ReverseDiff` for setting the automatic differentiation backend when sampling.
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`StatsPlots` for visualising the resutls. `, Measures` for setting plot margin units.

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