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@@ -308,6 +308,21 @@ const thebe_selector_output = ".output, .cell_output"
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Week 39: Optimization and Gradient 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="week40.html">
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Week 40: Gradient descent methods (continued) and start Neural networks
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<li class="toctree-l1">
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<a class="reference internal" href="exercisesweek41.html">
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Exercises week 41
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<li class="toctree-l1">
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<a class="reference internal" href="week41.html">
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Week 41 Neural networks and constructing a neural network code
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</a>
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</li>
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</ul>
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<p aria-level="2" class="caption" role="heading">
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<span class="caption-text">
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@@ -320,6 +335,11 @@ const thebe_selector_output = ".output, .cell_output"
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Project 1 on Machine Learning, deadline October 7 (midnight), 2024
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="project2.html">
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Project 2 on Machine Learning, deadline November 4 (Midnight)
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</a>
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</li>
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</ul>
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</div>
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@@ -1036,13 +1056,13 @@ example of the functionality of <strong>Scikit-Learn</strong>.</p>
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</div>
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<div class="cell_output docutils container">
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The intercept alpha:
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[1.92622842]
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[1.94485679]
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Coefficient beta :
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[[5.21332621]]
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Mean squared error: 0.22
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Variance score: 0.90
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[[5.13059483]]
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Mean squared error: 0.32
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Variance score: 0.87
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Mean squared log error: 0.01
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Mean absolute error: 0.38
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Mean absolute error: 0.45
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</pre></div>
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</div>
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<img alt="_images/chapter1_19_1.png" src="_images/chapter1_19_1.png" />
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@@ -1142,7 +1162,7 @@ a linear <span class="math notranslate nohighlight">\(x\)</span>-dependence we s
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</div>
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<div class="cell_output docutils container">
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<img alt="_images/chapter1_33_0.png" src="_images/chapter1_33_0.png" />
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.005
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.004999999999999996
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</pre></div>
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</div>
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</div>
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