diff --git a/intro_presentation/index.html b/intro_presentation/index.html
index 30f487e974919143497c79845615013e51e22581..9759952e395c588172feafab68e395be59106588 100644
--- a/intro_presentation/index.html
+++ b/intro_presentation/index.html
@@ -135,15 +135,15 @@ class: remark-slide-content-large
 class: remark-slide-content-large
 
 
-## About Scientific IT Services (SIS)
+## Scientific IT Services (SIS)
 
 - IT Services close to research
 
 
-- Zoo of experts with diverse background
+- Zoo of experts with diverse backgrounds
 
 
-### Here today in real:
+### Here today:
 
 * Dr. Tarun Chadha
 
@@ -333,7 +333,7 @@ class: remark-slide-content-large
 class: center, middle, remark-slide-content-large
 
 <span style="font-size: 200%; color: #1F407A;">
-Contact us !
+Contact us!
 <br/>
 <br/>
 https://sis.id.ethz.ch/
@@ -375,14 +375,14 @@ class: remark-slide-content-large
 * Pragmatic approach, little math.
 
 
-* Introduction only !
+* Introduction only!
 
 ---
 class: remark-slide-content-large
 
 # About the course (2)
 
-What will you learn ?
+What will you learn?
 
 * Basic concepts of Machine Learning (ML).
 
@@ -391,24 +391,24 @@ class: remark-slide-content-large
 
 # About the course (2)
 
-What will you learn ?
+What will you learn?
 
 * Basic concepts of Machine Learning (ML).
 
 
-* More classical machine learning than artificial neural networks.
+* More about classical machine learning than about artificial neural networks.
 
 ---
 class: remark-slide-content-large
 
 # About the course (2)
 
-What will you learn ?
+What will you learn?
 
 * Basic concepts of Machine Learning (ML).
 
 
-* More classical machine learning than artificial neural networks.
+* More about classical machine learning than artificial neural networks.
 
 
 * General overview of supervised learning and related methods.
@@ -419,12 +419,12 @@ class: remark-slide-content-large
 
 # About the course (2)
 
-What will you learn ?
+What will you learn?
 
 * Basic concepts of Machine Learning (ML).
 
 
-* More classical machine learning than artificial neural networks.
+* More about classical machine learning than artificial neural networks.
 
 
 * General overview of supervised learning and related methods.
@@ -614,7 +614,7 @@ class: center, middle, inverse, remark-slide-content-large
 ---
 class: remark-slide-content-large
 
-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
@@ -622,7 +622,7 @@ class: remark-slide-content-large
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
@@ -632,7 +632,7 @@ class: remark-slide-content-large
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
@@ -645,7 +645,7 @@ class: remark-slide-content-large
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
@@ -661,7 +661,7 @@ class: remark-slide-content-large
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-# Who used ... before ?
+# Who used ... before?
 
 
 - Jupyter Notebooks
@@ -682,7 +682,7 @@ class: remark-slide-content-large
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-# Questions ?
+# Questions?
 
 
 ---