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small update on textbook

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mhjensen
2020-08-19 13:08:42 +02:00
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doc/pub/Intro2Course/html/Intro2Course-reveal.html
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@@ -270,7 +270,17 @@ Projects are handed in using <b>Canvas</b>. We use Github as repository for code
<section>
<h2 id="___sec5">Prerequisites </h2>
<h2 id="___sec5">Recommended textbooks </h2>
<ul>
<p><li> <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer</a></li>
<p><li> <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/" target="_blank">Aurelien Geron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition</a></li>
</ul>
</section>
<section>
<h2 id="___sec6">Prerequisites </h2>
<p>
Basic knowledge in programming and mathematics, with an emphasis on
@@ -286,7 +296,7 @@ Python is the recurring programming language.
<section>
<h2 id="___sec6">Learning outcomes </h2>
<h2 id="___sec7">Learning outcomes </h2>
<p>
<div class="alert alert-block alert-block alert-text-normal">
@@ -311,7 +321,7 @@ This course aims at giving you insights and knowledge about many of the central
<section>
<h2 id="___sec7">Topics covered in this course: Statistical analysis and optimization of data </h2>
<h2 id="___sec8">Topics covered in this course: Statistical analysis and optimization of data </h2>
<p>
The course has two central parts
@@ -344,7 +354,7 @@ The following topics will be covered
<section>
<h2 id="___sec8">Topics covered in this course: Machine Learning </h2>
<h2 id="___sec9">Topics covered in this course: Machine Learning </h2>
<p>
<div class="alert alert-block alert-block alert-text-normal">
@@ -371,7 +381,7 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
<section>
<h2 id="___sec9">Extremely useful tools, strongly recommended </h2>
<h2 id="___sec10">Extremely useful tools, strongly recommended </h2>
<p>
<div class="alert alert-block alert-block alert-text-normal">
@@ -387,7 +397,7 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
<section>
<h2 id="___sec10">Other courses on Data science and Machine Learning at UiO </h2>
<h2 id="___sec11">Other courses on Data science and Machine Learning at UiO </h2>
<p>
The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a> gives an excellent overview of courses on Machine learning at UiO.