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small update on textbook

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mhjensen
2020-08-19 13:08:42 +02:00
parent 775ad73418
commit 75835e62fd
19 changed files with 332 additions and 273 deletions
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doc/pub/Intro2Course/html/._Intro2Course-bs009.html
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@@ -46,25 +46,26 @@ Automatically generated HTML file from DocOnce source
('Course Format', 2, None, '___sec2'),
('Teachers', 2, None, '___sec3'),
('Deadlines for projects (tentative)', 2, None, '___sec4'),
('Prerequisites', 2, None, '___sec5'),
('Learning outcomes', 2, None, '___sec6'),
('Recommended textbooks', 2, None, '___sec5'),
('Prerequisites', 2, None, '___sec6'),
('Learning outcomes', 2, None, '___sec7'),
('Topics covered in this course: Statistical analysis and '
'optimization of data',
2,
None,
'___sec7'),
'___sec8'),
('Topics covered in this course: Machine Learning',
2,
None,
'___sec8'),
'___sec9'),
('Extremely useful tools, strongly recommended',
2,
None,
'___sec9'),
'___sec10'),
('Other courses on Data science and Machine Learning at UiO',
2,
None,
'___sec10')]}
'___sec11')]}
end of tocinfo -->
<body>
@@ -91,12 +92,13 @@ end of tocinfo -->
<!-- navigation toc: --> <li><a href="._Intro2Course-bs003.html#___sec2" style="font-size: 80%;">Course Format</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs004.html#___sec3" style="font-size: 80%;">Teachers</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs005.html#___sec4" style="font-size: 80%;">Deadlines for projects (tentative)</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs006.html#___sec5" style="font-size: 80%;">Prerequisites</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs007.html#___sec6" style="font-size: 80%;">Learning outcomes</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs008.html#___sec7" style="font-size: 80%;">Topics covered in this course: Statistical analysis and optimization of data</a></li>
<!-- navigation toc: --> <li><a href="#___sec8" style="font-size: 80%;">Topics covered in this course: Machine Learning</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs010.html#___sec9" style="font-size: 80%;">Extremely useful tools, strongly recommended</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs011.html#___sec10" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs006.html#___sec5" style="font-size: 80%;">Recommended textbooks</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs007.html#___sec6" style="font-size: 80%;">Prerequisites</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs008.html#___sec7" style="font-size: 80%;">Learning outcomes</a></li>
<!-- navigation toc: --> <li><a href="#___sec8" style="font-size: 80%;">Topics covered in this course: Statistical analysis and optimization of data</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs010.html#___sec9" style="font-size: 80%;">Topics covered in this course: Machine Learning</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs011.html#___sec10" style="font-size: 80%;">Extremely useful tools, strongly recommended</a></li>
<!-- navigation toc: --> <li><a href="._Intro2Course-bs012.html#___sec11" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
</ul>
</li>
@@ -112,27 +114,35 @@ end of tocinfo -->
<a name="part0009"></a>
<!-- !split -->
<h2 id="___sec8" class="anchor">Topics covered in this course: Machine Learning </h2>
<h2 id="___sec8" class="anchor">Topics covered in this course: Statistical analysis and optimization of data </h2>
<p>
The course has two central parts
<ol>
<li> Statistical analysis and optimization of data</li>
<li> Machine learning</li>
</ol>
These topics will be scattered thorughout the course and may not necessarily be taught separately. Rather, we will often take an approach (during the lectures and project/exercise sessions) where say elements from statistical data analysis are mixed with specific Machine Learning algorithms
<p>
<div class="panel panel-default">
<div class="panel-body">
<p> <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
<p>
The following topics will be covered
<ul>
<li> Linear Regression and Logistic Regression;</li>
<li> Neural networks and deep learning, including convolutional and recurrent neural networks</li>
<li> Decisions trees, Random Forests, Bagging and Boosting</li>
<li> Support vector machines</li>
<li> Bayesian linear and logistic regression</li>
<li> Boltzmann Machines</li>
<li> Unsupervised learning Dimensionality reduction, from PCA to cluster models</li>
<li> Basic concepts, expectation values, variance, covariance, correlation functions and errors;</li>
<li> Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;</li>
<li> Central elements of Bayesian statistics and modeling;</li>
<li> Gradient methods for data optimization,</li>
<li> Monte Carlo methods, Markov chains, Gibbs sampling and Metropolis-Hastings sampling;</li>
<li> Estimation of errors and resampling techniques such as the cross-validation, blocking, bootstrapping and jackknife methods;</li>
<li> Principal Component Analysis (PCA) and its mathematical foundation</li>
</ul>
Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.
<p>
</div>
</div>
@@ -154,6 +164,7 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
<li class="active"><a href="._Intro2Course-bs009.html">10</a></li>
<li><a href="._Intro2Course-bs010.html">11</a></li>
<li><a href="._Intro2Course-bs011.html">12</a></li>
<li><a href="._Intro2Course-bs012.html">13</a></li>
<li><a href="._Intro2Course-bs010.html">&raquo;</a></li>
</ul>
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