Merge branch 'master' of sissource.ethz.ch:sispub/courses/machinelearning-introduction-workshop

intro_presentation/index.html

@@ -373,14 +373,14 @@ class: remark-slide-content-large
 * Pragmatic approach, little math.
 
 
-* Introduction only !
+* Introduction only!
 
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 # About the course (2)
 
-What will you learn ?
+What will you learn?
 
 * Basic concepts of Machine Learning (ML).
 
@@ -389,24 +389,24 @@ 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.
@@ -417,12 +417,12 @@ 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.
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
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-# Who used ... before ?
+# Who used ... before?
 
 - Jupyter Notebooks
 
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-# Who used ... before ?
+# Who used ... before?
 
 
 - Jupyter Notebooks
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-# Questions ?
+# Questions?
 
 
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