diff --git a/doc/pub/week36/html/._week36-bs001.html b/doc/pub/week36/html/._week36-bs001.html
index 0085b05c6..100e4c855 100644
--- a/doc/pub/week36/html/._week36-bs001.html
+++ b/doc/pub/week36/html/._week36-bs001.html
@@ -279,6 +279,7 @@ MathJax.Hub.Config({
   <li> <a href="https://www.deeplearningbook.org/" target="_self">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
   <li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
   <li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_self">Video of lecture</a></li>  
+  <li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_self">Whiteboard notes</a></li>
 </ul>
 </ul>
 <p>
diff --git a/doc/pub/week36/html/week36-reveal.html b/doc/pub/week36/html/week36-reveal.html
index 4433dc228..05e3ebc91 100644
--- a/doc/pub/week36/html/week36-reveal.html
+++ b/doc/pub/week36/html/week36-reveal.html
@@ -219,7 +219,9 @@ MathJax.Hub.Config({
 
 <p><li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
 
-<p><li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>  
+<p><li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
+
+<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_blank">Whiteboard notes</a></li>
 </ul>
 <p>
 </ul>
diff --git a/doc/pub/week36/html/week36-solarized.html b/doc/pub/week36/html/week36-solarized.html
index e88970504..c925b371d 100644
--- a/doc/pub/week36/html/week36-solarized.html
+++ b/doc/pub/week36/html/week36-solarized.html
@@ -254,6 +254,7 @@ MathJax.Hub.Config({
   <li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
   <li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
   <li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>  
+  <li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_blank">Whiteboard notes</a></li>
 </ul>
 </ul>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
diff --git a/doc/pub/week36/html/week36.html b/doc/pub/week36/html/week36.html
index 1bd4a7e72..c9ac2eff9 100644
--- a/doc/pub/week36/html/week36.html
+++ b/doc/pub/week36/html/week36.html
@@ -331,6 +331,7 @@ MathJax.Hub.Config({
   <li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
   <li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
   <li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>  
+  <li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_blank">Whiteboard notes</a></li>
 </ul>
 </ul>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
diff --git a/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz b/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz
index 6fdcdeebf..6fea62f74 100644
Binary files a/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz and b/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz differ
diff --git a/doc/pub/week36/ipynb/week36.ipynb b/doc/pub/week36/ipynb/week36.ipynb
index 06eaec29a..ededd9147 100644
--- a/doc/pub/week36/ipynb/week36.ipynb
+++ b/doc/pub/week36/ipynb/week36.ipynb
@@ -2,7 +2,7 @@
  "cells": [
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-   "id": "15bccd1f",
+   "id": "2b900fea",
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@@ -14,7 +14,7 @@
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-   "id": "98c44981",
+   "id": "2286e211",
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@@ -27,7 +27,7 @@
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+   "id": "edbcd7f9",
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@@ -52,12 +52,14 @@
     "\n",
     "  * See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)\n",
     "\n",
-    "  * [Video of lecture](https://youtu.be/Kc20CFK0z7Y)"
+    "  * [Video of lecture](https://youtu.be/Kc20CFK0z7Y)  \n",
+    "\n",
+    "  * [Whiteboard notes](https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf)"
    ]
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@@ -69,7 +71,7 @@
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@@ -81,7 +83,7 @@
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@@ -93,7 +95,7 @@
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@@ -115,7 +117,7 @@
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@@ -125,7 +127,7 @@
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@@ -142,7 +144,7 @@
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@@ -152,7 +154,7 @@
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@@ -164,7 +166,7 @@
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@@ -186,7 +188,7 @@
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@@ -200,7 +202,7 @@
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@@ -212,7 +214,7 @@
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@@ -234,7 +236,7 @@
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@@ -246,7 +248,7 @@
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@@ -261,7 +263,7 @@
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@@ -273,7 +275,7 @@
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@@ -285,7 +287,7 @@
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@@ -295,7 +297,7 @@
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@@ -307,7 +309,7 @@
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@@ -317,7 +319,7 @@
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+   "id": "a0c3692c",
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@@ -329,7 +331,7 @@
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@@ -339,7 +341,7 @@
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@@ -351,7 +353,7 @@
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@@ -368,7 +370,7 @@
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+   "id": "3bb9eed3",
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@@ -382,7 +384,7 @@
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-   "id": "94e98151",
+   "id": "ba123060",
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@@ -396,7 +398,7 @@
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+   "id": "46fdfd39",
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@@ -407,7 +409,7 @@
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-   "id": "e1ec5fde",
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@@ -447,7 +449,7 @@
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@@ -467,7 +469,7 @@
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@@ -479,7 +481,7 @@
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+   "id": "d8a4669d",
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@@ -490,7 +492,7 @@
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-   "id": "555daa13",
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@@ -524,7 +526,7 @@
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@@ -534,7 +536,7 @@
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@@ -547,7 +549,7 @@
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@@ -559,7 +561,7 @@
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@@ -569,7 +571,7 @@
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@@ -582,7 +584,7 @@
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@@ -592,7 +594,7 @@
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@@ -604,7 +606,7 @@
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@@ -619,7 +621,7 @@
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@@ -632,7 +634,7 @@
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@@ -646,7 +648,7 @@
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@@ -668,7 +670,7 @@
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@@ -681,7 +683,7 @@
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@@ -693,7 +695,7 @@
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@@ -705,7 +707,7 @@
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@@ -743,7 +745,7 @@
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@@ -1088,7 +1090,7 @@
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@@ -1098,7 +1100,7 @@
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@@ -1110,7 +1112,7 @@
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@@ -1120,7 +1122,7 @@
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@@ -1132,7 +1134,7 @@
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@@ -1142,7 +1144,7 @@
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@@ -1157,7 +1159,7 @@
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@@ -1169,7 +1171,7 @@
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@@ -1179,7 +1181,7 @@
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@@ -1191,7 +1193,7 @@
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@@ -1203,7 +1205,7 @@
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@@ -1215,7 +1217,7 @@
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@@ -1225,7 +1227,7 @@
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@@ -1237,7 +1239,7 @@
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@@ -1249,7 +1251,7 @@
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@@ -1261,7 +1263,7 @@
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@@ -1271,7 +1273,7 @@
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@@ -1283,7 +1285,7 @@
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@@ -1293,7 +1295,7 @@
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@@ -1307,7 +1309,7 @@
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@@ -1317,7 +1319,7 @@
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@@ -1329,7 +1331,7 @@
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@@ -1341,7 +1343,7 @@
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@@ -1351,7 +1353,7 @@
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@@ -1363,7 +1365,7 @@
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@@ -1373,7 +1375,7 @@
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@@ -1385,7 +1387,7 @@
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@@ -1397,7 +1399,7 @@
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@@ -1407,7 +1409,7 @@
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@@ -1419,7 +1421,7 @@
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@@ -1429,7 +1431,7 @@
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@@ -1441,7 +1443,7 @@
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@@ -1453,7 +1455,7 @@
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@@ -1463,7 +1465,7 @@
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@@ -1475,7 +1477,7 @@
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@@ -1488,7 +1490,7 @@
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@@ -1500,7 +1502,7 @@
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@@ -1512,7 +1514,7 @@
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@@ -1524,7 +1526,7 @@
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@@ -1534,7 +1536,7 @@
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@@ -1546,7 +1548,7 @@
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@@ -1556,7 +1558,7 @@
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@@ -1568,7 +1570,7 @@
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@@ -1578,7 +1580,7 @@
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@@ -1590,7 +1592,7 @@
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@@ -1600,7 +1602,7 @@
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@@ -1613,7 +1615,7 @@
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@@ -1625,7 +1627,7 @@
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@@ -1637,7 +1639,7 @@
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@@ -1647,7 +1649,7 @@
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@@ -1659,7 +1661,7 @@
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@@ -1676,7 +1678,7 @@
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@@ -1688,7 +1690,7 @@
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@@ -1700,7 +1702,7 @@
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@@ -1710,7 +1712,7 @@
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@@ -1722,7 +1724,7 @@
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@@ -1732,7 +1734,7 @@
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@@ -1744,7 +1746,7 @@
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@@ -1754,7 +1756,7 @@
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@@ -1766,7 +1768,7 @@
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@@ -1776,7 +1778,7 @@
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@@ -1791,7 +1793,7 @@
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@@ -1853,7 +1855,7 @@
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@@ -1863,7 +1865,7 @@
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@@ -1874,7 +1876,7 @@
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@@ -1941,7 +1943,7 @@
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@@ -1952,7 +1954,7 @@
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@@ -2041,7 +2043,7 @@
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@@ -2051,7 +2053,7 @@
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@@ -2108,7 +2110,7 @@
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@@ -2135,7 +2137,7 @@
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@@ -2149,7 +2151,7 @@
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@@ -2161,7 +2163,7 @@
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@@ -2178,7 +2180,7 @@
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@@ -2190,7 +2192,7 @@
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@@ -2200,7 +2202,7 @@
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@@ -2212,7 +2214,7 @@
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@@ -2222,7 +2224,7 @@
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@@ -2234,7 +2236,7 @@
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@@ -2245,7 +2247,7 @@
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@@ -2257,7 +2259,7 @@
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@@ -2267,7 +2269,7 @@
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@@ -2279,7 +2281,7 @@
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@@ -2289,7 +2291,7 @@
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@@ -2301,7 +2303,7 @@
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@@ -2311,7 +2313,7 @@
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@@ -2323,7 +2325,7 @@
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@@ -2333,7 +2335,7 @@
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@@ -2345,7 +2347,7 @@
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@@ -2355,7 +2357,7 @@
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@@ -2367,7 +2369,7 @@
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@@ -2377,7 +2379,7 @@
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@@ -2389,7 +2391,7 @@
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@@ -2399,7 +2401,7 @@
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@@ -2411,7 +2413,7 @@
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@@ -2423,7 +2425,7 @@
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@@ -2435,7 +2437,7 @@
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@@ -2445,7 +2447,7 @@
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@@ -2457,7 +2459,7 @@
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@@ -2470,7 +2472,7 @@
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@@ -2482,7 +2484,7 @@
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@@ -2496,7 +2498,7 @@
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@@ -3558,7 +3560,7 @@
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@@ -3690,7 +3692,7 @@
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@@ -3738,7 +3740,7 @@
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@@ -3750,7 +3752,7 @@
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@@ -3772,7 +3774,7 @@
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@@ -3782,7 +3784,7 @@
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@@ -3801,7 +3803,7 @@
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@@ -3822,7 +3824,7 @@
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@@ -3834,7 +3836,7 @@
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@@ -3845,7 +3847,7 @@
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@@ -3858,7 +3860,7 @@
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@@ -3870,7 +3872,7 @@
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@@ -3880,7 +3882,7 @@
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@@ -3892,7 +3894,7 @@
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@@ -3902,7 +3904,7 @@
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@@ -3914,7 +3916,7 @@
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@@ -3924,7 +3926,7 @@
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@@ -3938,7 +3940,7 @@
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@@ -3950,7 +3952,7 @@
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@@ -3960,7 +3962,7 @@
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@@ -3972,7 +3974,7 @@
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@@ -3982,7 +3984,7 @@
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@@ -3994,7 +3996,7 @@
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@@ -4004,7 +4006,7 @@
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@@ -4016,7 +4018,7 @@
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@@ -4026,7 +4028,7 @@
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@@ -4042,7 +4044,7 @@
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@@ -4054,7 +4056,7 @@
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@@ -4064,7 +4066,7 @@
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@@ -4076,7 +4078,7 @@
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@@ -4089,7 +4091,7 @@
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@@ -4101,7 +4103,7 @@
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@@ -4111,7 +4113,7 @@
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@@ -4123,7 +4125,7 @@
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    "cell_type": "markdown",
-   "id": "f8e5eab1",
+   "id": "4050a8ed",
    "metadata": {
     "editable": true
    },
@@ -4133,7 +4135,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "625ffa9a",
+   "id": "ec31e4e2",
    "metadata": {
     "editable": true
    },
@@ -4145,7 +4147,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c9f42b80",
+   "id": "f872c397",
    "metadata": {
     "editable": true
    },
@@ -4157,7 +4159,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d4a9db87",
+   "id": "e8eeb2e5",
    "metadata": {
     "editable": true
    },
@@ -4167,7 +4169,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "07422075",
+   "id": "54d2f39d",
    "metadata": {
     "editable": true
    },
@@ -4179,7 +4181,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d2ae416",
+   "id": "54cbc3a8",
    "metadata": {
     "editable": true
    },
@@ -4191,7 +4193,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eaef554a",
+   "id": "7ee728b6",
    "metadata": {
     "editable": true
    },
@@ -4203,7 +4205,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5f691944",
+   "id": "00e9a0eb",
    "metadata": {
     "editable": true
    },
@@ -4213,7 +4215,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b4f8d4c5",
+   "id": "50f72b22",
    "metadata": {
     "editable": true
    },
@@ -4225,7 +4227,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "280a7a70",
+   "id": "d53fea2e",
    "metadata": {
     "editable": true
    },
diff --git a/doc/src/week36/week36.do.txt b/doc/src/week36/week36.do.txt
index ab571a832..1628a7e23 100644
--- a/doc/src/week36/week36.do.txt
+++ b/doc/src/week36/week36.do.txt
@@ -16,6 +16,8 @@ DATE: September 4-8, 2023
   * "Recommended Reading: Goodfellow et al chapter 3 on probability theory":"https://www.deeplearningbook.org/"
   * See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)
   * "Video of lecture":"https://youtu.be/Kc20CFK0z7Y"  
+  * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf"
+
 !split
 ===== Material for the active learning sessions Tuesday and Wednesday =====