update week 35

doc/src/week35/week35.do.txt

@@ -6,11 +6,8 @@ DATE: today
 !split
 =====  Plans for week 35 =====
 
-* Lab Wednesday: Work on exercises 1-5 for week 35, see end of these slides for the exercises. 
-* Thursday: Review of  ordinary Least Squares with applications, reminder on statistics  and start discussion of Ridge Regression and Singular Value Decomposition
-  * Video of lecture at URL:"https://youtu.be/jYdg2xzKa5E"
-* Friday: Discussion of Ridge and Lasso Regression and links with Singular Value Decomposition
-  * Video of lecture at URL:"https://youtu.be/07e-SUYRzM0"
+* Review of  ordinary Least Squares with applications. Discussion of Ridge and Lasso Regression and links with Singular Value Decomposition
+* Exercises and hands-on demonstrations
 === Reading recommendations: ===
   o See lecture notes for week 35 at URL:"https://compphysics.github.io/MachineLearning/doc/web/course.html"
   o For	a review on statistics see jupyter-book	URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html", the	most relevant parts are covered by sections 1.1.1-1.1.5
@@ -22,14 +19,14 @@ DATE: today
 
 
 !split
-===== Thursday September 1 =====
+===== Topics of week 35 =====
 
-The main topics on Thursday are:
+The main topics are:
 o Repetition from last week on linear regression
 o Reminder on statistics with quantities like mean values, variance abd covariance
 o Discussion of how to prepare data and examples of applications of linear regression
 o Mathematical interpretations of Linear Regression
-o Start discussing Ridge and Lasso regression and Singular Value Decomposition, to be continued Friday
+o Start discussing Ridge and Lasso regression and Singular Value Decomposition
 
 
 
@@ -1577,11 +1574,6 @@ example
 
 
 
-!split
-===== Friday September 2  =====
-
-
-
 !split
 ===== Mathematics of the SVD and implications =====