diff --git a/doc/web/course.dlog b/doc/web/course.dlog
index 60f4a7773..0b132886a 100644
--- a/doc/web/course.dlog
+++ b/doc/web/course.dlog
@@ -186,3 +186,6 @@ output in course.html
 running mako on course.do.txt to make tmp_mako__course.do.txt
 Translating doconce text in tmp_mako__course.do.txt to html
 output in course.html
+running mako on course.do.txt to make tmp_mako__course.do.txt
+Translating doconce text in tmp_mako__course.do.txt to html
+output in course.html
diff --git a/doc/web/course.do.txt b/doc/web/course.do.txt
index f3d5d4130..61b7565d3 100644
--- a/doc/web/course.do.txt
+++ b/doc/web/course.do.txt
@@ -6,9 +6,9 @@ pub_url = 'https://compphysics.github.io/MachineLearning/doc/pub'
 published = ['week34', 'week35', 'week36', 'week37', 'week38', 'week39', 'week40', 'week41', 'week42', 'week43', 'week44', 'week45', 'week46', 'week47', 'week48', ]
 chapters = {
  'week34': 'Week 34 August 23-27:Basic introduction to the course with schedule etc and start Linear Regression',
- 'week35': 'Week 35 August 30- September 3: Linear regression and review of statistics and probability theory',
- 'week36': 'Week 36 September 6-10: Resampling techniques, Cross-validation and Bootstrap and start discussion of Ridge regression',
- 'week37': 'Week 37 September 13-17: Ridge and Lasso Regression',
+ 'week35': 'Week 35 August 30- September 3: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression',
+ 'week36': 'Week 36 September 6-10: Statistical analysis and discussion of Ridge and Lasso regression',
+ 'week37': 'Week 37 September 13-17: Resampling techniques, Cross-validation and the Bootstrap',
  'week38': 'Week 38 September 20-24: Summary of linear regression methods and start Logistic Regression',
  'week39': 'Week 39 September 27- October 1: Logistic Regression and Gradient methods',
  'week40': 'Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model',
diff --git a/doc/web/course.html b/doc/web/course.html
index a8d2bdda8..ca4b09fee 100644
--- a/doc/web/course.html
+++ b/doc/web/course.html
@@ -48,21 +48,21 @@ div { text-align: justify; text-justify: inter-word; }
                2,
                None,
                'week-34-august-23-27-basic-introduction-to-the-course-with-schedule-etc-and-start-linear-regression'),
-              ('Week 35 August 30- September 3: Linear regression and review '
-               'of statistics and probability theory',
+              ('Week 35 August 30- September 3: Linear regression, from '
+               'ordinary Least Squares to Ridge and Lasso Regression',
                2,
                None,
-               'week-35-august-30-september-3-linear-regression-and-review-of-statistics-and-probability-theory'),
-              ('Week 36 September 6-10: Resampling techniques, '
-               'Cross-validation and Bootstrap and start discussion of Ridge '
-               'regression',
+               'week-35-august-30-september-3-linear-regression-from-ordinary-least-squares-to-ridge-and-lasso-regression'),
+              ('Week 36 September 6-10: Statistical analysis and discussion of '
+               'Ridge and Lasso regression',
                2,
                None,
-               'week-36-september-6-10-resampling-techniques-cross-validation-and-bootstrap-and-start-discussion-of-ridge-regression'),
-              ('Week 37 September 13-17: Ridge and Lasso Regression',
+               'week-36-september-6-10-statistical-analysis-and-discussion-of-ridge-and-lasso-regression'),
+              ('Week 37 September 13-17: Resampling techniques, '
+               'Cross-validation and the Bootstrap',
                2,
                None,
-               'week-37-september-13-17-ridge-and-lasso-regression'),
+               'week-37-september-13-17-resampling-techniques-cross-validation-and-the-bootstrap'),
               ('Week 38 September 20-24: Summary of linear regression methods '
                'and start Logistic Regression',
                2,
@@ -180,7 +180,7 @@ The teaching material is produced in various formats for running codes (jupyter
 
 </ul>
 
-<h2 id="week-35-august-30-september-3-linear-regression-and-review-of-statistics-and-probability-theory">Week 35 August 30- September 3: Linear regression and review of statistics and probability theory </h2>
+<h2 id="week-35-august-30-september-3-linear-regression-from-ordinary-least-squares-to-ridge-and-lasso-regression">Week 35 August 30- September 3: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression </h2>
 
 <ul>
  <li> HTML:</li>
@@ -199,7 +199,7 @@ The teaching material is produced in various formats for running codes (jupyter
 
 </ul>
 
-<h2 id="week-36-september-6-10-resampling-techniques-cross-validation-and-bootstrap-and-start-discussion-of-ridge-regression">Week 36 September 6-10: Resampling techniques, Cross-validation and Bootstrap and start discussion of Ridge regression </h2>
+<h2 id="week-36-september-6-10-statistical-analysis-and-discussion-of-ridge-and-lasso-regression">Week 36 September 6-10: Statistical analysis and discussion of Ridge and Lasso regression </h2>
 
 <ul>
  <li> HTML:</li>
@@ -218,7 +218,7 @@ The teaching material is produced in various formats for running codes (jupyter
 
 </ul>
 
-<h2 id="week-37-september-13-17-ridge-and-lasso-regression">Week 37 September 13-17: Ridge and Lasso Regression </h2>
+<h2 id="week-37-september-13-17-resampling-techniques-cross-validation-and-the-bootstrap">Week 37 September 13-17: Resampling techniques, Cross-validation and the Bootstrap </h2>
 
 <ul>
  <li> HTML:</li>
diff --git a/doc/web/tmp_mako__course.do.txt b/doc/web/tmp_mako__course.do.txt
index dfe16167d..037bc9b85 100644
--- a/doc/web/tmp_mako__course.do.txt
+++ b/doc/web/tmp_mako__course.do.txt
@@ -27,7 +27,7 @@ The teaching material is produced in various formats for running codes (jupyter
    * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week34/ipynb/week34.ipynb"
 
 
-===== Week 35 August 30- September 3: Linear regression and review of statistics and probability theory =====
+===== Week 35 August 30- September 3: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression =====
 
 
 
@@ -39,7 +39,7 @@ The teaching material is produced in various formats for running codes (jupyter
    * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week35/ipynb/week35.ipynb"
 
 
-===== Week 36 September 6-10: Resampling techniques, Cross-validation and Bootstrap and start discussion of Ridge regression =====
+===== Week 36 September 6-10: Statistical analysis and discussion of Ridge and Lasso regression =====
 
 
 
@@ -51,7 +51,7 @@ The teaching material is produced in various formats for running codes (jupyter
    * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week36/ipynb/week36.ipynb"
 
 
-===== Week 37 September 13-17: Ridge and Lasso Regression =====
+===== Week 37 September 13-17: Resampling techniques, Cross-validation and the Bootstrap =====