diff --git a/1-Introduction/2-history-of-ML/translations/README.zh-cn.md b/1-Introduction/2-history-of-ML/translations/README.zh-cn.md
index 65ace971b..700c13200 100644
--- a/1-Introduction/2-history-of-ML/translations/README.zh-cn.md
+++ b/1-Introduction/2-history-of-ML/translations/README.zh-cn.md
@@ -73,7 +73,7 @@ Alan Turing，一个真正杰出的人，[在 2019 年被公众投票选出](htt
 
 ## 1980s 专家系统
 
-随着这个领域的发展，它对商业的好处变得越来越明显，在 20 世纪 80 年代，‘专家系统’的泛滥也是如此。“专家系统是首批真正成功的人工智能 (AI) 软件形式之一。” （[来源](https://wikipedia.org/wiki/Expert_system)）。
+随着这个领域的发展，它对商业的好处变得越来越明显，在 20 世纪 80 年代，‘专家系统’也开始广泛流行起来。“专家系统是首批真正成功的人工智能 (AI) 软件形式之一。” （[来源](https://wikipedia.org/wiki/Expert_system)）。
 
 这种类型的系统实际上是混合系统，部分由定义业务需求的规则引擎和利用规则系统推断新事实的推理引擎组成。
 
diff --git a/9-Real-World/1-Applications/README.md b/9-Real-World/1-Applications/README.md
index 811fe71e4..e2eea0e6f 100644
--- a/9-Real-World/1-Applications/README.md
+++ b/9-Real-World/1-Applications/README.md
@@ -1,7 +1,7 @@
 # Postscript: Machine learning in the real world
 
 
-![Summary of Machine learning in the real world in a sketchnote](../../sketchnotes/ml-realworld.png)
+![Summary of machine learning in the real world in a sketchnote](../../sketchnotes/ml-realworld.png)
 > Sketchnote by [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
 In this curriculum, you have learned many ways to prepare data for training and create machine learning models. You built a series of classic regression, clustering, classification, natural language processing, and time series models. Congratulations! Now, you might be wondering what it's all for... what are the real world applications for these models?
diff --git a/9-Real-World/1-Applications/translations/README.ko.md b/9-Real-World/1-Applications/translations/README.ko.md
index 62c09752c..265b8421f 100644
--- a/9-Real-World/1-Applications/translations/README.ko.md
+++ b/9-Real-World/1-Applications/translations/README.ko.md
@@ -1,7 +1,7 @@
 # 추신: 현실의 머신러닝
 
 
-![Summary of Machine learning in the real world in a sketchnote](../../../sketchnotes/ml-realworld.png)
+![Summary of machine learning in the real world in a sketchnote](../../../sketchnotes/ml-realworld.png)
 > Sketchnote by [Tomomi Imura](https://www.twitter.com/girlie_mac)
 
 이 커리큘럼에서, 훈련하기 위한 데이터를 준비하고 머신러닝 모델으로 만드는 다양한 방식을 배웠습니다. 일렬의 classic regression, clustering, classification, natural language processing과, time series 모델을 만들었습니다. 축하드립니다! 지금부터, 모두 어떤 것을 고려했는지 궁금할 수 있습니다... 이 모델로 어떤 현실 어플리케이션을 만들었나요?
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