update of notes
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@@ -55,7 +55,7 @@ const thebe_selector_output = ".output, .cell_output"
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<script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
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<link rel="index" title="Index" href="genindex.html" />
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<link rel="search" title="Search" href="search.html" />
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<link rel="prev" title="Week 37: Statitsitcal interpretations and Resampling Methods" href="week37.html" />
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<link rel="prev" title="Week 38: Logistic Regression and Optimization" href="week38.html" />
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@@ -284,7 +284,17 @@ const thebe_selector_output = ".output, .cell_output"
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="week37.html">
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Week 37: Statitsitcal interpretations and Resampling Methods
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Week 37: Statistical interpretations and Resampling Methods
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="exercisesweek38.html">
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Exercises week 38
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="week38.html">
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Week 38: Logistic Regression and Optimization
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</a>
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</li>
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</ul>
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@@ -649,7 +659,7 @@ which polynomial fits the data best.</p>
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</div>
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</div>
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<div class="cell_output docutils container">
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_7740/39730396.py:11: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_20604/39730396.py:11: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
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ax = fig.gca(projection='3d')
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</pre></div>
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</div>
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@@ -805,17 +815,17 @@ term which measures the deviation from the true data and the mean value of the m
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That is, show that</p>
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<div class="math notranslate nohighlight">
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\[
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\mathbb{E}\left[(\boldsymbol{y}-\boldsymbol{\tilde{y}})^2\right]=(\mathrm{Bias}[\tilde{y}])^2+\mathrm{var}[\tilde{f}]+\sigma^2,
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\mathbb{E}\left[(\boldsymbol{y}-\boldsymbol{\tilde{y}})^2\right]=\mathrm{Bias}[y]+\mathrm{var}[\tilde{y}]+\sigma^2,
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\]</div>
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<p>with</p>
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<div class="math notranslate nohighlight">
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\[
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(\mathrm{Bias}[\tilde{y}])^2=\left(\boldsymbol{y}-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right]\right)^2,
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\mathrm{Bias}[y]=\mathbb{E}\left[\left(\boldsymbol{y}-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right]\right)^2\right],
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\]</div>
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<p>and</p>
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<div class="math notranslate nohighlight">
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\[
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\mathrm{var}[\tilde{f}]=\frac{1}{n}\sum_i(\tilde{y}_i-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right])^2.
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\mathrm{var}[\tilde{y}]=\frac{1}{n}\sum_i(\tilde{y}_i-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right])^2.
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\]</div>
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<p>The answer to this exercise should be included in the theory part of the report. This exercise is also part of the weekly exercises of week 37.
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Explain what the terms mean and discuss their interpretations.</p>
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@@ -1008,11 +1018,11 @@ of code developers and contributors keeps increasing.</p>
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<p class="prev-next-subtitle">previous</p>
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<p class="prev-next-title">Week 37: Statitsitcal interpretations and Resampling Methods</p>
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<p class="prev-next-title">Week 38: Logistic Regression and Optimization</p>
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