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update website

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Morten Hjorth-Jensen
2021-09-08 06:13:00 +02:00
parent 2bcc525906
commit 23911bea70
4 changed files with 21 additions and 18 deletions
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doc/web/course.dlog
+3
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@@ -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
doc/web/course.do.txt
+3 -3
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@@ -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',
doc/web/course.html
+12 -12
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@@ -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>
doc/web/tmp_mako__course.do.txt
+3 -3
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@@ -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 =====