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-rw-r--r--docs/ml-collaborative-filtering.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/ml-collaborative-filtering.md b/docs/ml-collaborative-filtering.md
index 4514a358e1..bd3d527d9a 100644
--- a/docs/ml-collaborative-filtering.md
+++ b/docs/ml-collaborative-filtering.md
@@ -60,7 +60,7 @@ best parameter learned from a sampled subset to the full dataset and expect simi
<div class="codetabs">
<div data-lang="scala" markdown="1">
-In the following example, we load rating data from the
+In the following example, we load ratings data from the
[MovieLens dataset](http://grouplens.org/datasets/movielens/), each row
consisting of a user, a movie, a rating and a timestamp.
We then train an ALS model which assumes, by default, that the ratings are
@@ -91,7 +91,7 @@ val als = new ALS()
<div data-lang="java" markdown="1">
-In the following example, we load rating data from the
+In the following example, we load ratings data from the
[MovieLens dataset](http://grouplens.org/datasets/movielens/), each row
consisting of a user, a movie, a rating and a timestamp.
We then train an ALS model which assumes, by default, that the ratings are
@@ -122,7 +122,7 @@ ALS als = new ALS()
<div data-lang="python" markdown="1">
-In the following example, we load rating data from the
+In the following example, we load ratings data from the
[MovieLens dataset](http://grouplens.org/datasets/movielens/), each row
consisting of a user, a movie, a rating and a timestamp.
We then train an ALS model which assumes, by default, that the ratings are