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doc/pub/week1/html/week1-bs.html

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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="description" content="January 15-19: Advanced machine learning and data analysis for the physical sciences">
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<title>January 15-19: Advanced machine learning and data analysis for the physical sciences</title>
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<meta name="description" content="Advanced machine learning and data analysis for the physical sciences">
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<title>Advanced machine learning and data analysis for the physical sciences</title>
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<!-- Bootstrap style: bootstrap -->
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<!-- doconce format html week1.do.txt --html_style=bootstrap --pygments_html_style=default --html_admon=bootstrap_panel --html_output=week1-bs --no_mako -->
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<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
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<!-- tocinfo
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{'highest level': 2,
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'sections': [('Overview of first week, January 15-19, 2024',
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<span class="icon-bar"></span>
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<span class="icon-bar"></span>
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</button>
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<a class="navbar-brand" href="week1-bs.html">January 15-19: Advanced machine learning and data analysis for the physical sciences</a>
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<a class="navbar-brand" href="week1-bs.html">Advanced machine learning and data analysis for the physical sciences</a>
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</div>
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<div class="navbar-collapse collapse navbar-responsive-collapse">
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<ul class="nav navbar-nav navbar-right">
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<li class="dropdown">
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<a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="#overview-of-first-week-january-15-19-2024" style="font-size: 80%;">Overview of first week, January 15-19, 2024</a></li>
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<!-- navigation toc: --> <li><a href="#overview-of-first-week-january-20-24-2025" style="font-size: 80%;">Overview of first week, January 20-24, 2025</a></li>
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<!-- navigation toc: --> <li><a href="#practicalities" style="font-size: 80%;">Practicalities</a></li>
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<!-- navigation toc: --> <li><a href="#deep-learning-methods-covered-tentative" style="font-size: 80%;">Deep learning methods covered, tentative</a></li>
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<!-- navigation toc: --> <li><a href="#additional-topics-kernel-regression-gaussian-processes-and-bayesian-statistics-https-jenfb-github-io-bkmr-overview-html" style="font-size: 80%;">"Additional topics: Kernel regression (Gaussian processes) and Bayesian statistics":"https://jenfb.github.io/bkmr/overview.html"</a></li>
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<!-- ------------------- main content ---------------------- -->
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<div class="jumbotron">
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<center>
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<h1>January 15-19: Advanced machine learning and data analysis for the physical sciences</h1>
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<h1>Advanced machine learning and data analysis for the physical sciences</h1>
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</center> <!-- document title -->
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<!-- author(s): Morten Hjorth-Jensen -->
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</center>
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<br>
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<center>
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<h4>FYS5429/9429, Spring 2024</h4>
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<h4>January 23, 2024</h4>
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</center> <!-- date -->
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<br>
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<!-- potential-jumbotron-button -->
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</div> <!-- end jumbotron -->
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<!-- !split -->
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<h2 id="overview-of-first-week-january-15-19-2024" class="anchor">Overview of first week, January 15-19, 2024 </h2>
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<h2 id="overview-of-first-week-january-20-24-2025" class="anchor">Overview of first week, January 20-24, 2025 </h2>
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<div class="panel panel-default">
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<div class="panel-body">
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<h2 id="practicalities" class="anchor">Practicalities </h2>
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<ol>
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<li> Lectures Tuesday 1015am-12pm, room F&#216;434, Department of Physics</li>
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<li> Lectures Tuesday 1215pm-2pm, room F&#216;434, Department of Physics</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants</li>
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<li> No exam, only two projects. Each projects counts 1/2 of the final grade.</li>
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<li> All info at the GitHub address <a href="https://github.com/CompPhysics/AdvancedMachineLearning" target="_self"><tt>https://github.com/CompPhysics/AdvancedMachineLearning</tt></a></li>

doc/pub/week1/html/week1-reveal.html

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<!-- ------------------- main content ---------------------- -->
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<h1 style="text-align: center;">January 15-19: Advanced machine learning and data analysis for the physical sciences</h1>
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<h1 style="text-align: center;">Advanced machine learning and data analysis for the physical sciences</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<br>
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<h4>FYS5429/9429, Spring 2024</h4>
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<h4>January 23, 2024</h4>
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</center> <!-- date -->
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<br>
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</section>
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<section>
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<h2 id="overview-of-first-week-january-15-19-2024">Overview of first week, January 15-19, 2024 </h2>
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<h2 id="overview-of-first-week-january-20-24-2025">Overview of first week, January 20-24, 2025 </h2>
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<b></b>
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<h2 id="practicalities">Practicalities </h2>
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<ol>
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<p><li> Lectures Tuesday 1015am-12pm, room F&#216;434, Department of Physics</li>
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<p><li> Lectures Tuesday 1215pm-2pm, room F&#216;434, Department of Physics</li>
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<p><li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants</li>
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<p><li> No exam, only two projects. Each projects counts 1/2 of the final grade.</li>
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<p><li> All info at the GitHub address <a href="https://github.com/CompPhysics/AdvancedMachineLearning" target="_blank"><tt>https://github.com/CompPhysics/AdvancedMachineLearning</tt></a></li>

doc/pub/week1/html/week1-solarized.html

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<!-- ------------------- main content ---------------------- -->
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<h1>January 15-19: Advanced machine learning and data analysis for the physical sciences</h1>
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<h1>Advanced machine learning and data analysis for the physical sciences</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<h4>FYS5429/9429, Spring 2024</h4>
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<h4>January 23, 2024</h4>
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<br>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="overview-of-first-week-january-15-19-2024">Overview of first week, January 15-19, 2024 </h2>
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<h2 id="overview-of-first-week-january-20-24-2025">Overview of first week, January 20-24, 2025 </h2>
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<h2 id="practicalities">Practicalities </h2>
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<ol>
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<li> Lectures Tuesday 1015am-12pm, room F&#216;434, Department of Physics</li>
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<li> Lectures Tuesday 1215pm-2pm, room F&#216;434, Department of Physics</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants</li>
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<li> No exam, only two projects. Each projects counts 1/2 of the final grade.</li>
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<li> All info at the GitHub address <a href="https://github.com/CompPhysics/AdvancedMachineLearning" target="_blank"><tt>https://github.com/CompPhysics/AdvancedMachineLearning</tt></a></li>

doc/pub/week1/html/week1.html

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<!-- ------------------- main content ---------------------- -->
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<center>
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<h1>January 15-19: Advanced machine learning and data analysis for the physical sciences</h1>
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<h1>Advanced machine learning and data analysis for the physical sciences</h1>
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</center> <!-- document title -->
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<!-- author(s): Morten Hjorth-Jensen -->
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<h4>FYS5429/9429, Spring 2024</h4>
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<h4>January 23, 2024</h4>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="overview-of-first-week-january-15-19-2024">Overview of first week, January 15-19, 2024 </h2>
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<h2 id="overview-of-first-week-january-20-24-2025">Overview of first week, January 20-24, 2025 </h2>
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<h2 id="practicalities">Practicalities </h2>
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<ol>
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<li> Lectures Tuesday 1015am-12pm, room F&#216;434, Department of Physics</li>
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<li> Lectures Tuesday 1215pm-2pm, room F&#216;434, Department of Physics</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants</li>
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<li> No exam, only two projects. Each projects counts 1/2 of the final grade.</li>
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<li> All info at the GitHub address <a href="https://github.com/CompPhysics/AdvancedMachineLearning" target="_blank"><tt>https://github.com/CompPhysics/AdvancedMachineLearning</tt></a></li>
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