changes to week34

doc/src/week34/week34.do.txt

@@ -1,4 +1,4 @@
-TITLE: Applied Data Analysis and Machine Learning: Introduction to the course, Logistics and Practicalities
+TITLE: Week 34: Introduction to the course, Logistics and Practicalities
 AUTHOR: Morten Hjorth-Jensen  {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
 DATE: today
 
@@ -16,8 +16,9 @@ DATE: today
 
 
 !split
-===== Thursday =====
+===== Thursday August 20 =====
 
+"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/zoom_0.mp4?vrtx=view-as-webpage".
 
 
 !split
@@ -849,6 +850,14 @@ As we will see below it leads also to a very concice code close to the mathemati
 For multidimensional arrays, we recommend strongly "xarray":"http://xarray.pydata.org/en/stable/". _xarray_ has much of the same flexibility as _pandas_, but allows for the extension to higher dimensions than two. We will see examples later of the usage of both _pandas_ and _xarray_. 
 
 
+!split
+===== Friday August 21 =====
+
+"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h20/forelesningsvideoer/LectureAug21.mp4?vrtx=view-as-webpage"  and "Handwritten notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/NotesAugust21.pdf"
+
+
+
+
 !split
 ===== Reading Data and fitting  =====