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Reshaping some content

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mhjensen
2019-06-09 21:43:14 -04:00
parent 00d4e6e22f
commit bde6333936
2 changed files with 13 additions and 13 deletions
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doc/web/course.do.txt
+3 -3
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@@ -14,7 +14,7 @@ published = ['Intro2Course', 'Introduction', 'How2ReadData', 'Linalg', 'Statisti
chapters = {
'Intro2Course': 'Basic introduction to the course with schedule etc',
'Introduction': 'Introduction to Data Analysis and Machine Learning',
'How2ReadData': 'Getting started with Machine Learning',
'How2ReadData': 'Getting started with Machine Learning with simple Examples',
'Linalg': 'Review of central linear algebra elements',
'Statistics': 'Monte Carlo methods and elements of probability theory',
'Regression': 'Regression Methods',
@@ -22,13 +22,13 @@ chapters = {
'LogReg': 'Logistic Regression',
'NeuralNet': 'Neural Networks',
'DimRed': 'Reduction of dimensionality',
'DecisionTrees': 'Decision trees, from simple to random ones',
'DecisionTrees': 'Decision Trees and Random Forests',
'svm': 'Support Vector Machines',
'BM': 'Unsupervised Learning, Boltzmann Machines',
'Recurrent': 'Recurrent Neural Networks',
'Autoencoders': 'Autoencoders',
'Reinforce': 'Reinforcement Learning',
'odenn': 'Solving ordinary and partial differential equations with Neural Networks',
'odenn': 'Solving ordinary and Partial Differential Equations and Eigenvalue Problems with Neural Networks',
'Bayesian': 'Elements of Bayesian theory and Bayesian Neural Networks',
'summary': 'Summary',
}
doc/web/course.html
+10 -10
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@@ -77,7 +77,10 @@ div { text-align: justify; text-justify: inter-word; }
2,
None,
'___sec1'),
('Getting started with Machine Learning', 2, None, '___sec2'),
('Getting started with Machine Learning with simple Examples',
2,
None,
'___sec2'),
('Review of central linear algebra elements', 2, None, '___sec3'),
('Monte Carlo methods and elements of probability theory',
2,
@@ -91,10 +94,7 @@ div { text-align: justify; text-justify: inter-word; }
('Logistic Regression', 2, None, '___sec7'),
('Neural Networks', 2, None, '___sec8'),
('Reduction of dimensionality', 2, None, '___sec9'),
('Decision trees, from simple to random ones',
2,
None,
'___sec10'),
('Decision Trees and Random Forests', 2, None, '___sec10'),
('Support Vector Machines', 2, None, '___sec11'),
('Unsupervised Learning, Boltzmann Machines',
2,
@@ -103,8 +103,8 @@ div { text-align: justify; text-justify: inter-word; }
('Recurrent Neural Networks', 2, None, '___sec13'),
('Autoencoders', 2, None, '___sec14'),
('Reinforcement Learning', 2, None, '___sec15'),
('Solving ordinary and partial differential equations with '
'Neural Networks',
('Solving ordinary and Partial Differential Equations and '
'Eigenvalue Problems with Neural Networks',
2,
None,
'___sec16'),
@@ -257,7 +257,7 @@ formulas in HTML or ipython notebook files.
</ul>
<h2 id="___sec2">Getting started with Machine Learning </h2>
<h2 id="___sec2">Getting started with Machine Learning with simple Examples </h2>
<ul>
<li> LaTeX PDF:</li>
@@ -489,7 +489,7 @@ formulas in HTML or ipython notebook files.
</ul>
<h2 id="___sec10">Decision trees, from simple to random ones </h2>
<h2 id="___sec10">Decision Trees and Random Forests </h2>
<ul>
<li> LaTeX PDF:</li>
@@ -663,7 +663,7 @@ formulas in HTML or ipython notebook files.
</ul>
<h2 id="___sec16">Solving ordinary and partial differential equations with Neural Networks </h2>
<h2 id="___sec16">Solving ordinary and Partial Differential Equations and Eigenvalue Problems with Neural Networks </h2>
<ul>
<li> LaTeX PDF:</li>