diff --git a/doc/pub/week35/html/._week35-bs000.html b/doc/pub/week35/html/._week35-bs000.html
index e6f5e6ee0..606fe872d 100644
--- a/doc/pub/week35/html/._week35-bs000.html
+++ b/doc/pub/week35/html/._week35-bs000.html
@@ -37,6 +37,7 @@ doconce format html week35.do.txt --html_style=bootstrap --pygments_html_style=d
Plans for week 35
+ Reading recommendations:
Thursday September 1
Why Linear Regression (aka Ordinary Least Squares and family), repeat from last week
Regression analysis, overarching aims
@@ -390,7 +392,7 @@ MathJax.Hub.Config({
-Aug 23, 2022
+Aug 28, 2022
diff --git a/doc/pub/week35/html/._week35-bs001.html b/doc/pub/week35/html/._week35-bs001.html
index fdade8102..a4291f69b 100644
--- a/doc/pub/week35/html/._week35-bs001.html
+++ b/doc/pub/week35/html/._week35-bs001.html
@@ -37,6 +37,7 @@ doconce format html week35.do.txt --html_style=bootstrap --pygments_html_style=d
Plans for week 35
+ Reading recommendations:
Thursday September 1
Why Linear Regression (aka Ordinary Least Squares and family), repeat from last week
Regression analysis, overarching aims
@@ -375,10 +377,21 @@ MathJax.Hub.Config({
Plans for week 35
-- Thursday: Review of ordinary Least Squares with applications and discussion of Ridge Regression and Singular Value Decomposition
-- Friday: Analysis of Ridge and Lasso Regression and links with Singular Value Decomposition
-- Video series on the SVD. Highly recommended.
+- Lab Wednesday: Work on exercises 1-5 for week 35
+- Thursday: Review of ordinary Least Squares with applications, reminder on statistics and start discussion of Ridge Regression and Singular Value Decom\
+position
+
+- Friday: Discussion of Ridge and Lasso Regression and links with Singular Value Decomposition
+
+Reading recommendations:
+
+ - See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html
+ - For a review on statistics see jupyter-book 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
+ - HTF chapter 3. GBC chapters 1 and and sections 3.1-3.11 and 5.1
+ - CMB sections 1.1 and 3.1
+ - A good review on statistics is given by Murphy's text, chapter 2, see https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/MachineLearningMurphy.pdf
+