doc tweaks

1 files changed, 4 insertions, 4 deletions

diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md
index 8c86369ae6..08d6d74853 100644
--- a/docs/mllib-guide.md
+++ b/docs/mllib-guide.md
@@ -231,12 +231,12 @@ Only singular vectors associated with singular values
 greater or equal to MIN_SVALUE are recovered. If there are k
 such values, then the dimensions of the return will be:
 
-S is k x k and diagonal, holding the singular values on diagonal
-U is m x k and satisfies U^T*U = eye(k)
-V is n x k and satisfies V^TV = eye(k)
+* *S* is *k x k* and diagonal, holding the singular values on diagonal.
+* *U* is *m x k* and satisfies U^T*U = eye(k).
+* *V* is *n x k* and satisfies V^TV = eye(k).
 
 All input and output is expected in sparse matrix format, 1-indexed
-as tuples of the form ((i,j),value) all in RDDs
+as tuples of the form ((i,j),value) all in RDDs. Below is example usage.
 
 {% highlight scala %}