update of slides

doc/pub/svm/html/._svm-bs000.html

@@ -174,7 +174,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Nov 16, 2019</h4></center> <!-- date -->
+<center><h4>Nov 18, 2019</h4></center> <!-- date -->
 <br>
 <p>
 

doc/pub/svm/html/._svm-bs009.html

@@ -159,9 +159,8 @@ MathJax.Hub.Config({
 
 <p>
 The equations we discussed above can be coded rather easily (the
-framework is rather similar to what we developed for logistic
-regression). We use the standard moons example to set up our data
-set. We want to find a line which separates the two classes
+framework is similar to what we developed for logistic
+regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "default" -->

doc/pub/svm/html/svm-bs.html

@@ -174,7 +174,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Nov 16, 2019</h4></center> <!-- date -->
+<center><h4>Nov 18, 2019</h4></center> <!-- date -->
 <br>
 <p>
 

doc/pub/svm/html/svm-reveal.html

@@ -148,7 +148,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>&nbsp;<br>
-<center><h4>Nov 16, 2019</h4></center> <!-- date -->
+<center><h4>Nov 18, 2019</h4></center> <!-- date -->
 <br>
 <p>
 
@@ -471,9 +471,8 @@ where \( \eta \) is our by now well-known learning rate.
 
 <p>
 The equations we discussed above can be coded rather easily (the
-framework is rather similar to what we developed for logistic
-regression). We use the standard moons example to set up our data
-set. We want to find a line which separates the two classes
+framework is similar to what we developed for logistic
+regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->

doc/pub/svm/html/svm-solarized.html

@@ -110,7 +110,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Nov 16, 2019</h4></center> <!-- date -->
+<center><h4>Nov 18, 2019</h4></center> <!-- date -->
 <br>
 <p>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -398,9 +398,8 @@ where \( \eta \) is our by now well-known learning rate.
 
 <p>
 The equations we discussed above can be coded rather easily (the
-framework is rather similar to what we developed for logistic
-regression). We use the standard moons example to set up our data
-set. We want to find a line which separates the two classes
+framework is similar to what we developed for logistic
+regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->

doc/pub/svm/html/svm.html

@@ -115,7 +115,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Nov 16, 2019</h4></center> <!-- date -->
+<center><h4>Nov 18, 2019</h4></center> <!-- date -->
 <br>
 <p>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -403,9 +403,8 @@ where \( \eta \) is our by now well-known learning rate.
 
 <p>
 The equations we discussed above can be coded rather easily (the
-framework is rather similar to what we developed for logistic
-regression). We use the standard moons example to set up our data
-set. We want to find a line which separates the two classes
+framework is similar to what we developed for logistic
+regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way.
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "default" -->

doc/pub/svm/ipynb/svm.ipynb

@@ -10,7 +10,7 @@
     "<!-- Author: -->  \n",
     "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
     "\n",
-    "Date: **Nov 16, 2019**\n",
+    "Date: **Nov 18, 2019**\n",
     "\n",
     "Copyright 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
     "\n",
@@ -423,9 +423,8 @@
     "## Code Example\n",
     "\n",
     "The equations we discussed above can be coded rather easily (the\n",
-    "framework is rather similar to what we developed for logistic\n",
-    "regression). We use the standard moons example to set up our data\n",
-    "set. We want to find a line which separates the two classes"
+    "framework is similar to what we developed for logistic\n",
+    "regression). We are going to set up a simple case with two classes only and we want to find a line which separates them the best possible way."
    ]
   },
   {