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@@ -55,7 +55,7 @@ const thebe_selector_output = ".output, .cell_output"
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@@ -275,114 +275,7 @@ const thebe_selector_output = ".output, .cell_output"
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<a class="reference internal" href="week36.html">
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Week 36: Statistical interpretation of Linear Regression and Resampling techniques
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<a class="reference internal" href="exercisesweek37.html">
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Exercises week 37
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<a class="reference internal" href="week37.html">
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Week 37: Statistical interpretations and Resampling Methods
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<a class="reference internal" href="exercisesweek38.html">
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Exercises week 38
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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 class="reference internal" href="exercisesweek39.html">
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Exercises week 39
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<a class="reference internal" href="week39.html">
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Week 39: Optimization and Gradient Methods
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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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Exercises week 41
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Week 41 Neural networks and constructing a neural network code
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<a class="reference internal" href="exercisesweek42.html">
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Exercises week 42
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<li class="toctree-l1">
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<a class="reference internal" href="week42.html">
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Week 42 Constructing a Neural Network code with introduction to Tensor flow
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<a class="reference internal" href="exercisesweek43.html">
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Exercises weeks 43 and 44
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<a class="reference internal" href="week43.html">
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Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
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<a class="reference internal" href="week44.html">
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Week 44, Convolutional Neural Networks (CNN)
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<a class="reference internal" href="week45.html">
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Week 45, Recurrent Neural Networks
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<a class="reference internal" href="week46.html">
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Week 46: Decision Trees, Ensemble methods and Random Forests
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<a class="reference internal" href="week47.html">
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Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of Course
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<li class="toctree-l1">
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<a class="reference internal" href="exercisesweek47.html">
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Exercise week 47
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<p aria-level="2" class="caption" role="heading">
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<span class="caption-text">
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Projects
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</span>
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</p>
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<ul class="nav bd-sidenav">
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<li class="toctree-l1">
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<a class="reference internal" href="project1.html">
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Project 1 on Machine Learning, deadline October 9 (midnight), 2023
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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 17 (Midnight)
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Week 36: Linear Rgeression and Statistical interpretations
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</a>
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</li>
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</ul>
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@@ -540,11 +433,11 @@ const thebe_selector_output = ".output, .cell_output"
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<!-- HTML file automatically generated from DocOnce source (https://github.com/doconce/doconce/)
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doconce format html exercisesweek36.do.txt --no_mako -->
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doconce format html exercisesweek36.do.txt -->
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<!-- dom:TITLE: Exercises week 36 --><div class="tex2jax_ignore mathjax_ignore section" id="exercises-week-36">
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<h1>Exercises week 36<a class="headerlink" href="#exercises-week-36" title="Permalink to this headline">¶</a></h1>
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<p><strong>September 4-8, 2023</strong></p>
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<p>Date: <strong>Deadline is Sunday September 10 at midnight</strong></p>
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<p><strong>September 2-6, 2024</strong></p>
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<p>Date: <strong>Deadline is Friday September 6 at midnight</strong></p>
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<div class="section" id="overarching-aims-of-the-exercises-this-week">
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<h2>Overarching aims of the exercises this week<a class="headerlink" href="#overarching-aims-of-the-exercises-this-week" title="Permalink to this headline">¶</a></h2>
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<p>This set of exercises form an important part of the first project. The
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@@ -702,7 +595,7 @@ Ridge regression and ordinary least squares.</p>
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<p class="prev-next-subtitle">next</p>
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<p class="prev-next-title">Week 36: Statistical interpretation of Linear Regression and Resampling techniques</p>
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<p class="prev-next-title">Week 36: Linear Rgeression and Statistical interpretations</p>
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