diff --git a/doc/src/week35/week35.do.txt b/doc/src/week35/week35.do.txt
index 280fd3b46..fae0ed508 100644
--- a/doc/src/week35/week35.do.txt
+++ b/doc/src/week35/week35.do.txt
@@ -18,7 +18,7 @@ o Monday: Ridge and Lasso regression and Singular Value Decomposition
 
   o These lecture notes
 #  o "Video of lecture":"https://youtu.be/VKakN-e4aUA"
-  o "Video for exercises week 35":"https://youtu.be/yiY0OltU1s8"
+#  o "Video for exercises week 35":"https://youtu.be/yiY0OltU1s8"
   o Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)
   o Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.
   o For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.