adding guest lecture to week 46
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@@ -178,7 +178,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Nov 9, 2020</h4></center> <!-- date -->
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<center><h4>Nov 11, 2020</h4></center> <!-- date -->
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<br>
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<p>
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@@ -162,7 +162,7 @@ MathJax.Hub.Config({
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<h2 id="___sec0" class="anchor">Overview of week 46 </h2>
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<ul>
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<li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.</li>
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<li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences. <a href="https://www.mn.uio.no/fysikk/english/people/johnmai/" target="_self">Guest lecture by John M. Aiken on Gradient Boosting and XGboost</a>.</li>
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<li> <b>Friday</b>: Support Vector Machines, classification and regression.</li>
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</ul>
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@@ -178,7 +178,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Nov 9, 2020</h4></center> <!-- date -->
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<center><h4>Nov 11, 2020</h4></center> <!-- date -->
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<br>
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<p>
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p> <br>
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<center><h4>Nov 9, 2020</h4></center> <!-- date -->
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<center><h4>Nov 11, 2020</h4></center> <!-- date -->
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<br>
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<p>
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@@ -162,7 +162,7 @@ MathJax.Hub.Config({
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<h2 id="___sec0">Overview of week 46 </h2>
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<ul>
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<p><li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.</li>
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<p><li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences. <a href="https://www.mn.uio.no/fysikk/english/people/johnmai/" target="_blank">Guest lecture by John M. Aiken on Gradient Boosting and XGboost</a>.</li>
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<p><li> <b>Friday</b>: Support Vector Machines, classification and regression.</li>
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</ul>
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<p>
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@@ -112,7 +112,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Nov 9, 2020</h4></center> <!-- date -->
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<center><h4>Nov 11, 2020</h4></center> <!-- date -->
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<br>
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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@@ -120,7 +120,7 @@ MathJax.Hub.Config({
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<h2 id="___sec0">Overview of week 46 </h2>
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<ul>
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<li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.</li>
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<li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences. <a href="https://www.mn.uio.no/fysikk/english/people/johnmai/" target="_blank">Guest lecture by John M. Aiken on Gradient Boosting and XGboost</a>.</li>
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<li> <b>Friday</b>: Support Vector Machines, classification and regression.</li>
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</ul>
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@@ -117,7 +117,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Nov 9, 2020</h4></center> <!-- date -->
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<center><h4>Nov 11, 2020</h4></center> <!-- date -->
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<br>
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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@@ -125,7 +125,7 @@ MathJax.Hub.Config({
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<h2 id="___sec0">Overview of week 46 </h2>
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<ul>
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<li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.</li>
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<li> <b>Thursday</b>: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences. <a href="https://www.mn.uio.no/fysikk/english/people/johnmai/" target="_blank">Guest lecture by John M. Aiken on Gradient Boosting and XGboost</a>.</li>
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<li> <b>Friday</b>: Support Vector Machines, classification and regression.</li>
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</ul>
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@@ -10,7 +10,7 @@
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"<!-- Author: --> \n",
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"**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
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"\n",
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"Date: **Nov 9, 2020**\n",
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"Date: **Nov 11, 2020**\n",
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"\n",
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"Copyright 1999-2020, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
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"\n",
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@@ -18,7 +18,7 @@
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"\n",
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"## Overview of week 46\n",
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"\n",
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"* **Thursday**: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.\n",
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"* **Thursday**: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences. [Guest lecture by John M. Aiken on Gradient Boosting and XGboost](https://www.mn.uio.no/fysikk/english/people/johnmai/).\n",
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"\n",
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"* **Friday**: Support Vector Machines, classification and regression.\n",
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"\n",
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@@ -5,7 +5,7 @@ DATE: today
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!split
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===== Overview of week 46 =====
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* _Thursday_: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.
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* _Thursday_: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences. "Guest lecture by John M. Aiken on Gradient Boosting and XGboost":"https://www.mn.uio.no/fysikk/english/people/johnmai/".
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* _Friday_: Support Vector Machines, classification and regression.
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