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update lecture notes

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Morten Hjorth-Jensen
2024-10-28 06:15:26 +01:00
parent d58daeae80
commit d6bb9335d0
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doc/LectureNotes/_build/html/chapter1.html
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@@ -348,6 +348,11 @@ const thebe_selector_output = ".output, .cell_output"
Exercises week 43
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week44.html">
Week 44, Convolutional Neural Networks (CNN)
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
@@ -1081,13 +1086,13 @@ example of the functionality of <strong>Scikit-Learn</strong>.</p>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The intercept alpha:
[1.97438607]
[1.97977855]
Coefficient beta :
[[5.01837528]]
Mean squared error: 0.24
Variance score: 0.91
[[5.06813806]]
Mean squared error: 0.20
Variance score: 0.90
Mean squared log error: 0.01
Mean absolute error: 0.41
Mean absolute error: 0.37
</pre></div>
</div>
<img alt="_images/chapter1_19_1.png" src="_images/chapter1_19_1.png" />
@@ -1187,7 +1192,7 @@ a linear <span class="math notranslate nohighlight">\(x\)</span>-dependence we s
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<div class="cell_output docutils container">
<img alt="_images/chapter1_33_0.png" src="_images/chapter1_33_0.png" />
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.005000000000000009
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.004999999999999996
</pre></div>
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</div>