small update on textbook
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@@ -71,25 +71,26 @@ div { text-align: justify; text-justify: inter-word; }
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('Course Format', 2, None, '___sec2'),
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('Teachers', 2, None, '___sec3'),
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('Deadlines for projects (tentative)', 2, None, '___sec4'),
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('Prerequisites', 2, None, '___sec5'),
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('Learning outcomes', 2, None, '___sec6'),
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('Recommended textbooks', 2, None, '___sec5'),
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('Prerequisites', 2, None, '___sec6'),
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('Learning outcomes', 2, None, '___sec7'),
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('Topics covered in this course: Statistical analysis and '
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'optimization of data',
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2,
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None,
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'___sec7'),
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'___sec8'),
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('Topics covered in this course: Machine Learning',
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2,
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None,
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'___sec8'),
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'___sec9'),
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('Extremely useful tools, strongly recommended',
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2,
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None,
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'___sec9'),
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'___sec10'),
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('Other courses on Data science and Machine Learning at UiO',
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2,
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None,
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'___sec10')]}
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'___sec11')]}
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end of tocinfo -->
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<body>
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@@ -244,7 +245,16 @@ Projects are handed in using <b>Canvas</b>. We use Github as repository for code
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec5">Prerequisites </h2>
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<h2 id="___sec5">Recommended textbooks </h2>
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<ul>
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<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>
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<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>
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</ul>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec6">Prerequisites </h2>
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<p>
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Basic knowledge in programming and mathematics, with an emphasis on
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@@ -260,7 +270,7 @@ Python is the recurring programming language.
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec6">Learning outcomes </h2>
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<h2 id="___sec7">Learning outcomes </h2>
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<p>
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<div class="alert alert-block alert-block alert-text-normal">
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@@ -288,7 +298,7 @@ This course aims at giving you insights and knowledge about many of the central
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec7">Topics covered in this course: Statistical analysis and optimization of data </h2>
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<h2 id="___sec8">Topics covered in this course: Statistical analysis and optimization of data </h2>
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<p>
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The course has two central parts
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@@ -323,7 +333,7 @@ The following topics will be covered
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec8">Topics covered in this course: Machine Learning </h2>
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<h2 id="___sec9">Topics covered in this course: Machine Learning </h2>
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<p>
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<div class="alert alert-block alert-block alert-text-normal">
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@@ -350,7 +360,7 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec9">Extremely useful tools, strongly recommended </h2>
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<h2 id="___sec10">Extremely useful tools, strongly recommended </h2>
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<p>
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<div class="alert alert-block alert-block alert-text-normal">
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@@ -367,7 +377,7 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="___sec10">Other courses on Data science and Machine Learning at UiO </h2>
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<h2 id="___sec11">Other courses on Data science and Machine Learning at UiO </h2>
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<p>
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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.
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