changes to week37

doc/src/week37/week37.do.txt

@@ -8,9 +8,17 @@ DATE: today
 * Thursday September 10: Motivation for shrinkage methods and the Singular Value Decompostion theorem
 * Friday September 11: Ridge and Lasso regression
 
+
+!split
+===== Thursday September 10  =====
+
+"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureSeptember10.mp4?vrtx=view-as-webpage" and "handwritten notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/NotesSeptember10.pdf"
+
+More material will be added here, see handwritten notes also.
 !split
 =====  A Bayesian approach to develop intuition about skrinkage methods =====
 
+See Handwritten notes
 
 !split
 ===== The singular value decomposition  =====
@@ -332,6 +340,15 @@ It is indeed the economy-sized SVD, note the summation runs up tp $$p$$ only and
 Here we have that $${\bf X} = {\bf U}{\bf \Sigma}{\bf V}^T$$, with $$\Sigma$$ being an $$ n\times p$$ matrix and $${\bf V}$$ being a $$ p\times p$$ matrix. We also have assumed here that $$ n > p$$. 
 
 
+
+!split
+===== Friday September 12  =====
+
+"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureSeptember11.mp4?vrtx=view-as-webpage" and "handwritten notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/NotesSeptember11.pdf"
+
+More material will be added here, see handwritten notes also.
+
+
 !split
 ===== Ridge and LASSO Regression =====