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authorYuchen Pei <me@ypei.me>2019-02-18 10:30:28 +0100
committerYuchen Pei <me@ypei.me>2019-02-18 10:30:28 +0100
commite28f5e7ee788bf74f8e3495e8488a064edd0a82d (patch)
treee964cb1ed97e423f3cc826864e5546d3ba860ec5 /posts/2019-02-14-raise-your-elbo.md
parent8eb0393633dd777bdbdc5213f4f411cd0b7700b4 (diff)
fixed some typos
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diff --git a/posts/2019-02-14-raise-your-elbo.md b/posts/2019-02-14-raise-your-elbo.md
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+++ b/posts/2019-02-14-raise-your-elbo.md
@@ -244,7 +244,7 @@ So now the space for both $x$ and $z$ are finite. We call this model the
simple mixture model (SMM).
As in GMM, at E-step $r_{ik}$ can be explicitly computed using
-Bayesian\'s theorem.
+Bayes\' theorem.
It is not hard to write down the solution to the M-step in this case: