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update course overview

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Morten Hjorth-Jensen
2021-11-09 06:20:01 +01:00
parent b53eee433a
commit e7f1c9a40b
5 changed files with 125 additions and 196 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/web/.course_html_file_collection
-1
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@@ -1 +0,0 @@
course.html
doc/web/course.dlog
+3
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@@ -198,3 +198,6 @@ 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
+5 -6
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@@ -3,7 +3,7 @@ AUTHOR: "Morten Hjorth-Jensen":"http://mhjgit.github.io/info/doc/web/" at Depart
<%
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', ]
published = ['week34', 'week35', 'week36', 'week37', 'week38', 'week39', 'week40', 'week41', 'week42', 'week43', 'week44', 'week45', 'week46', 'week47', ]
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, from ordinary Least Squares to Ridge and Lasso Regression',
@@ -14,12 +14,11 @@ chapters = {
'week40': 'Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm',
'week41': 'Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow',
'week42': 'Week 42 October 18-22: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)',
'week43': 'Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks',
'week44': 'Week 44 November 1-5: Decision Trees and Bagging',
'week45': 'Week 45 November 8-12: Random Forests and Gradient Boosting and Workshop on Project 3',
'week43': 'Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis',
'week44': 'Week 44 November 1-5: Principal Component analysis, Clustering and Decision Trees',
'week45': 'Week 45 November 8-12: Decision Trees, Random Forests and Gradient Boosting',
'week46': 'Week 46 November 15-19: Gradient boosting and Support Vector Machines',
'week47': 'Week 47 November 22-26: Support Vector Machines',
'week48': 'Week 48 November 29- December 3: Support Vector Machines and Summary of Course with Future Perspectives',
'week47': 'Week 47 November 22-26: Support Vector Machines and Summary of Course with Future Perspectives',
}
%>
doc/web/course.html
+113 -173
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@@ -1,6 +1,7 @@
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doconce format html course.do.txt
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<html>
<head>
@@ -8,16 +9,9 @@ Automatically generated HTML file from DocOnce source
<meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)">
<title>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</title>
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/* Color definitions: https://www.december.com/html/spec/color0.html
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@@ -27,18 +21,98 @@ body {
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@@ -90,33 +164,31 @@ div { text-align: justify; text-justify: inter-word; }
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'week-42-october-18-22-deep-learning-solving-differential-equations-with-nns-and-convolutional-neural-networks'),
('Week 43 October 25-29: Deep learning, Convolutional Neural '
'Networks and Recurrent Neural Networks',
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2,
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'week-43-october-25-29-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks'),
('Week 44 November 1-5: Decision Trees and Bagging',
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('Week 44 November 1-5: Principal Component analysis, Clustering '
'and Decision Trees',
2,
None,
'week-44-november-1-5-decision-trees-and-bagging'),
('Week 45 November 8-12: Random Forests and Gradient Boosting '
'and Workshop on Project 3',
'week-44-november-1-5-principal-component-analysis-clustering-and-decision-trees'),
('Week 45 November 8-12: Decision Trees, Random Forests and '
'Gradient Boosting',
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None,
'week-45-november-8-12-random-forests-and-gradient-boosting-and-workshop-on-project-3'),
'week-45-november-8-12-decision-trees-random-forests-and-gradient-boosting'),
('Week 46 November 15-19: Gradient boosting and Support Vector '
'Machines',
2,
None,
'week-46-november-15-19-gradient-boosting-and-support-vector-machines'),
('Week 47 November 22-26: Support Vector Machines',
('Week 47 November 22-26: Support Vector Machines and Summary of '
'Course with Future Perspectives',
2,
None,
'week-47-november-22-26-support-vector-machines'),
('Week 48 November 29- December 3: Support Vector Machines and '
'Summary of Course with Future Perspectives',
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2,
@@ -137,419 +209,287 @@ div { text-align: justify; text-justify: inter-word; }
end of tocinfo -->
<body>
<!-- ------------------- main content ---------------------- -->
<center>
<h1>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</h1>
</center> <!-- document title -->
<center><h1>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</h1></center> <!-- document title -->
<p>
<!-- author(s): <a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a> -->
<center>
<b><a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a></b> [1, 2]
</center>
<p>
<!-- institution(s) -->
<center>[1] <b>Department of Physics and Astronomy and Facility for Rare ion Beams and National Superconducting Cyclotron Laboratory, Michigan State University, USA</b></center>
<center>[2] <b>Department of Physics and Center for Computing in Science Education (office F&#216;470), University of Oslo, Norway</b></center>
<center>
[1] <b>Department of Physics and Astronomy and Facility for Rare ion Beams and National Superconducting Cyclotron Laboratory, Michigan State University, USA</b>
</center>
<center>
[2] <b>Department of Physics and Center for Computing in Science Education (office F&#216;470), University of Oslo, Norway</b>
</center>
<br>
<p>
The teaching material is produced in various formats for running codes (jupyter notebooks) and on-screen reading. Below you will also find a link to the lecture notes as a textbook in PDF format and as a jupyter notebook as well. Projects and exercise sets are also included.
<p>The teaching material is produced in various formats for running codes (jupyter notebooks) and on-screen reading. Below you will also find a link to the lecture notes as a textbook in PDF format and as a jupyter notebook as well. Projects and exercise sets are also included.</p>
<h2 id="week-34-august-23-27-basic-introduction-to-the-course-with-schedule-etc-and-start-linear-regression">Week 34 August 23-27:Basic introduction to the course with schedule etc and start Linear Regression </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/ipynb/week34.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<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>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/ipynb/week35.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<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>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/ipynb/week36.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<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>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/ipynb/week37.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-38-september-20-24-summary-of-linear-regression-methods-and-start-logistic-regression">Week 38 September 20-24: Summary of linear regression methods and start Logistic Regression </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/ipynb/week38.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-39-september-27-october-1-logistic-regression-and-gradient-methods">Week 39 September 27- October 1: Logistic Regression and Gradient methods </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/ipynb/week39.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-40-october-4-8-stochastic-gradient-descent-and-neural-networks-starting-to-build-a-multi-layer-perceptron-model-the-back-propagation-algoritm">Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow">Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/ipynb/week41.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-42-october-18-22-deep-learning-solving-differential-equations-with-nns-and-convolutional-neural-networks">Week 42 October 18-22: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks) </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-43-october-25-29-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks">Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks </h2>
<h2 id="week-43-october-25-29-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks-principal-component-analysis">Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/ipynb/week43.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-44-november-1-5-decision-trees-and-bagging">Week 44 November 1-5: Decision Trees and Bagging </h2>
<h2 id="week-44-november-1-5-principal-component-analysis-clustering-and-decision-trees">Week 44 November 1-5: Principal Component analysis, Clustering and Decision Trees </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-45-november-8-12-random-forests-and-gradient-boosting-and-workshop-on-project-3">Week 45 November 8-12: Random Forests and Gradient Boosting and Workshop on Project 3 </h2>
<h2 id="week-45-november-8-12-decision-trees-random-forests-and-gradient-boosting">Week 45 November 8-12: Decision Trees, Random Forests and Gradient Boosting </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/ipynb/week45.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-46-november-15-19-gradient-boosting-and-support-vector-machines">Week 46 November 15-19: Gradient boosting and Support Vector Machines </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-47-november-22-26-support-vector-machines">Week 47 November 22-26: Support Vector Machines </h2>
<h2 id="week-47-november-22-26-support-vector-machines-and-summary-of-course-with-future-perspectives">Week 47 November 22-26: Support Vector Machines and Summary of Course with Future Perspectives </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/ipynb/week47.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-48-november-29-december-3-support-vector-machines-and-summary-of-course-with-future-perspectives">Week 48 November 29- December 3: Support Vector Machines and Summary of Course with Future Perspectives </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/ipynb/week48.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<!-- !split -->
<h2 id="textbook">Textbook </h2>
<ul>
<li> PDF-file:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/LectureNotes/pdf/book.pdf" target="_self">PDF file</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/LectureNotes/ipynb/book.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<!-- !split -->
<h2 id="projects-fall-2021-dates-are-tentative">Projects Fall 2021 (dates are tentative) </h2>
<h3 id="project-1-deadline-october-11-available-september-10">Project 1, Deadline October 11 (available September 10) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/html/Project1.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/html/Project1-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/ipynb/Project1.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="project-2-deadline-november-15-available-october-12">Project 2, Deadline November 15 (available October 12) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.tex" target="_self">Latex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/html/Project2.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/html/Project2-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/ipynb/Project2.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="project-3-deadline-december-13-available-november-12">Project 3, Deadline December 13 (available November 12) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/pdf/Project3.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/pdf/Project3.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/html/Project3.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/html/Project3-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/ipynb/Project3.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<!-- ------------------- end of main content --------------- -->
</body>
</html>
doc/web/tmp_mako__course.do.txt
+4 -16
View File
@@ -123,7 +123,7 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb"
===== Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks =====
===== Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis =====
@@ -135,7 +135,7 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week43/ipynb/week43.ipynb"
===== Week 44 November 1-5: Decision Trees and Bagging =====
===== Week 44 November 1-5: Principal Component analysis, Clustering and Decision Trees =====
@@ -147,7 +147,7 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb"
===== Week 45 November 8-12: Random Forests and Gradient Boosting and Workshop on Project 3 =====
===== Week 45 November 8-12: Decision Trees, Random Forests and Gradient Boosting =====
@@ -171,7 +171,7 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb"
===== Week 47 November 22-26: Support Vector Machines =====
===== Week 47 November 22-26: Support Vector Machines and Summary of Course with Future Perspectives =====
@@ -183,18 +183,6 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week47/ipynb/week47.ipynb"
===== Week 48 November 29- December 3: Support Vector Machines and Summary of Course with Future Perspectives =====
* HTML:
* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48.html"
* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-reveal.html"
* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-bs.html"
* Jupyter notebook:
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week48/ipynb/week48.ipynb"
!split
===== Textbook =====