change of deadline for p1

This commit is contained in:
mhjensen
2020-10-02 11:10:22 +02:00
parent 8ae6436fcd
commit 1844c3c31f
9 changed files with 27 additions and 27 deletions
@@ -7,9 +7,9 @@ Automatically generated HTML file from DocOnce source
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="Project 1 on Machine Learning, deadline October 5, 2020">
<meta name="description" content="Project 1 on Machine Learning, deadline October 10, 2020">
<title>Project 1 on Machine Learning, deadline October 5, 2020</title>
<title>Project 1 on Machine Learning, deadline October 10, 2020</title>
<!-- Bootstrap style: bootstrap -->
<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
@@ -112,7 +112,7 @@ MathJax.Hub.Config({
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="Project1-bs.html">Project 1 on Machine Learning, deadline October 5, 2020</a>
<a class="navbar-brand" href="Project1-bs.html">Project 1 on Machine Learning, deadline October 10, 2020</a>
</div>
<div class="navbar-collapse collapse navbar-responsive-collapse">
@@ -150,7 +150,7 @@ MathJax.Hub.Config({
<div class="jumbotron">
<center><h1>Project 1 on Machine Learning, deadline October 5, 2020</h1></center> <!-- document title -->
<center><h1>Project 1 on Machine Learning, deadline October 10, 2020</h1></center> <!-- document title -->
<p>
<!-- author(s): <a href="http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" target="_self">Data Analysis and Machine Learning FYS-STK3155/FYS4155</a> -->
@@ -165,7 +165,7 @@ MathJax.Hub.Config({
<center><b>Department of Physics, University of Oslo, Norway</b></center>
<br>
<p>
<center><h4>Sep 16, 2020</h4></center> <!-- date -->
<center><h4>Oct 2, 2020</h4></center> <!-- date -->
<br>
<p>
</div> <!-- end jumbotron -->
@@ -254,7 +254,7 @@ z <span style="color: #666666">=</span> FrankeFunction(x, y)
<span style="color: #408080; font-style: italic"># Plot the surface.</span>
surf <span style="color: #666666">=</span> ax<span style="color: #666666">.</span>plot_surface(x, y, z, cmap<span style="color: #666666">=</span>cm<span style="color: #666666">.</span>coolwarm,
linewidth<span style="color: #666666">=0</span>, antialiased<span style="color: #666666">=</span><span style="color: #008000">False</span>)
linewidth<span style="color: #666666">=0</span>, antialiased<span style="color: #666666">=</span><span style="color: #008000; font-weight: bold">False</span>)
<span style="color: #408080; font-style: italic"># Customize the z axis.</span>
ax<span style="color: #666666">.</span>set_zlim(<span style="color: #666666">-0.10</span>, <span style="color: #666666">1.40</span>)
@@ -7,9 +7,9 @@ Automatically generated HTML file from DocOnce source
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="Project 1 on Machine Learning, deadline October 5, 2020">
<meta name="description" content="Project 1 on Machine Learning, deadline October 10, 2020">
<title>Project 1 on Machine Learning, deadline October 5, 2020</title>
<title>Project 1 on Machine Learning, deadline October 10, 2020</title>
<!-- Bootstrap style: bootstrap -->
<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
@@ -112,7 +112,7 @@ MathJax.Hub.Config({
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="Project1-bs.html">Project 1 on Machine Learning, deadline October 5, 2020</a>
<a class="navbar-brand" href="Project1-bs.html">Project 1 on Machine Learning, deadline October 10, 2020</a>
</div>
<div class="navbar-collapse collapse navbar-responsive-collapse">
@@ -150,7 +150,7 @@ MathJax.Hub.Config({
<div class="jumbotron">
<center><h1>Project 1 on Machine Learning, deadline October 5, 2020</h1></center> <!-- document title -->
<center><h1>Project 1 on Machine Learning, deadline October 10, 2020</h1></center> <!-- document title -->
<p>
<!-- author(s): <a href="http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" target="_self">Data Analysis and Machine Learning FYS-STK3155/FYS4155</a> -->
@@ -165,7 +165,7 @@ MathJax.Hub.Config({
<center><b>Department of Physics, University of Oslo, Norway</b></center>
<br>
<p>
<center><h4>Sep 16, 2020</h4></center> <!-- date -->
<center><h4>Oct 2, 2020</h4></center> <!-- date -->
<br>
<p>
</div> <!-- end jumbotron -->
@@ -254,7 +254,7 @@ z <span style="color: #666666">=</span> FrankeFunction(x, y)
<span style="color: #408080; font-style: italic"># Plot the surface.</span>
surf <span style="color: #666666">=</span> ax<span style="color: #666666">.</span>plot_surface(x, y, z, cmap<span style="color: #666666">=</span>cm<span style="color: #666666">.</span>coolwarm,
linewidth<span style="color: #666666">=0</span>, antialiased<span style="color: #666666">=</span><span style="color: #008000">False</span>)
linewidth<span style="color: #666666">=0</span>, antialiased<span style="color: #666666">=</span><span style="color: #008000; font-weight: bold">False</span>)
<span style="color: #408080; font-style: italic"># Customize the z axis.</span>
ax<span style="color: #666666">.</span>set_zlim(<span style="color: #666666">-0.10</span>, <span style="color: #666666">1.40</span>)
@@ -7,9 +7,9 @@ Automatically generated HTML file from DocOnce source
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="Project 1 on Machine Learning, deadline October 5, 2020">
<meta name="description" content="Project 1 on Machine Learning, deadline October 10, 2020">
<title>Project 1 on Machine Learning, deadline October 5, 2020</title>
<title>Project 1 on Machine Learning, deadline October 10, 2020</title>
<style type="text/css">
@@ -107,7 +107,7 @@ MathJax.Hub.Config({
<center><h1>Project 1 on Machine Learning, deadline October 5, 2020</h1></center> <!-- document title -->
<center><h1>Project 1 on Machine Learning, deadline October 10, 2020</h1></center> <!-- document title -->
<p>
<!-- author(s): <a href="http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" target="_blank">Data Analysis and Machine Learning FYS-STK3155/FYS4155</a> -->
@@ -122,7 +122,7 @@ MathJax.Hub.Config({
<center><b>Department of Physics, University of Oslo, Norway</b></center>
<br>
<p>
<center><h4>Sep 16, 2020</h4></center> <!-- date -->
<center><h4>Oct 2, 2020</h4></center> <!-- date -->
<br>
<h2 id="___sec0">Regression analysis and resampling methods </h2>
@@ -209,7 +209,7 @@ z <span style="color: #666666">=</span> FrankeFunction(x, y)
<span style="color: #408080; font-style: italic"># Plot the surface.</span>
surf <span style="color: #666666">=</span> ax<span style="color: #666666">.</span>plot_surface(x, y, z, cmap<span style="color: #666666">=</span>cm<span style="color: #666666">.</span>coolwarm,
linewidth<span style="color: #666666">=0</span>, antialiased<span style="color: #666666">=</span><span style="color: #008000">False</span>)
linewidth<span style="color: #666666">=0</span>, antialiased<span style="color: #666666">=</span><span style="color: #008000; font-weight: bold">False</span>)
<span style="color: #408080; font-style: italic"># Customize the z axis.</span>
ax<span style="color: #666666">.</span>set_zlim(<span style="color: #666666">-0.10</span>, <span style="color: #666666">1.40</span>)
@@ -4,13 +4,13 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"<!-- dom:TITLE: Project 1 on Machine Learning, deadline October 5, 2020 -->\n",
"# Project 1 on Machine Learning, deadline October 5, 2020\n",
"<!-- dom:TITLE: Project 1 on Machine Learning, deadline October 10, 2020 -->\n",
"# Project 1 on Machine Learning, deadline October 10, 2020\n",
"<!-- dom:AUTHOR: [Data Analysis and Machine Learning FYS-STK3155/FYS4155](http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html) at Department of Physics, University of Oslo, Norway -->\n",
"<!-- Author: --> \n",
"**[Data Analysis and Machine Learning FYS-STK3155/FYS4155](http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html)**, Department of Physics, University of Oslo, Norway\n",
"\n",
"Date: **Sep 16, 2020**\n",
"Date: **Oct 2, 2020**\n",
"\n",
"Copyright 1999-2020, [Data Analysis and Machine Learning FYS-STK3155/FYS4155](http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html). Released under CC Attribution-NonCommercial 4.0 license\n",
"\n",
@@ -528,5 +528,5 @@
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
@@ -135,7 +135,7 @@ final, % draft: marks overfull hboxes, figures with paths
\begin{center}
{\LARGE\bf
\begin{spacing}{1.25}
Project 1 on Machine Learning, deadline October 5, 2020
Project 1 on Machine Learning, deadline October 10, 2020
\end{spacing}
}
\end{center}
@@ -155,7 +155,7 @@ Project 1 on Machine Learning, deadline October 5, 2020
% --- begin date ---
\begin{center}
Sep 16, 2020
Oct 2, 2020
\end{center}
% --- end date ---
Binary file not shown.
+3 -3
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@@ -105,7 +105,7 @@ final, % draft: marks overfull hboxes, figures with paths
\begin{center}
{\LARGE\bf
\begin{spacing}{1.25}
Project 1 on Machine Learning, deadline October 5, 2020
Project 1 on Machine Learning, deadline October 10, 2020
\end{spacing}
}
\end{center}
@@ -125,7 +125,7 @@ Project 1 on Machine Learning, deadline October 5, 2020
% --- begin date ---
\begin{center}
Sep 16, 2020
Oct 2, 2020
\end{center}
% --- end date ---
@@ -227,7 +227,7 @@ We will generate our own dataset for a function
$\mathrm{FrankeFunction}(x,y)$ with $x,y \in [0,1]$. The function
$f(x,y)$ is the Franke function. You should explore also the addition
of an added stochastic noise to this function using the normal
distribution $N(0,1)$.
distribution $\cal{N}(0,1)$.
\emph{Write your own code} (using either a matrix inversion or a singular
value decomposition from e.g., \textbf{numpy} ) or use your code from
@@ -1,4 +1,4 @@
TITLE: Project 1 on Machine Learning, deadline October 5, 2020
TITLE: Project 1 on Machine Learning, deadline October 10, 2020
AUTHOR: "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway
DATE: today