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update week 35
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‎doc/pub/week35/html/._week35-bs000.html‎

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@@ -375,7 +375,7 @@ <h1>Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression</h1>
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<h4>August 26-30, 2024</h4>
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<h4>August 25-29, 2025</h4>
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<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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‎doc/pub/week35/html/._week35-bs001.html‎

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@@ -374,8 +374,8 @@ <h2 id="plans-for-week-35" class="anchor">Plans for week 35 </h2>
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<h3 id="reading-recommendations" class="anchor">Reading recommendations: </h3>
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<ol>
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<li> These lecture notes</li>
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<li> <a href="https://youtu.be/VKakN-e4aUA" target="_self">Video of lecture</a></li>
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<li> These lecture notes
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<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_self">Video of lecture</a> --></li>
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<li> <a href="https://youtu.be/yiY0OltU1s8" target="_self">Video for exercises week 35</a></li>
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<li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
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<li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>

‎doc/pub/week35/html/week35-bs.html‎

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<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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‎doc/pub/week35/html/week35-reveal.html‎

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<h3 id="reading-recommendations">Reading recommendations: </h3>
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<ol>
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<p><li> These lecture notes</li>
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<p><li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
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<p><li> These lecture notes
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<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a> --></li>
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<p><li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
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<p><li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
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<p><li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>

‎doc/pub/week35/html/week35-solarized.html‎

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<ol>
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<li> These lecture notes</li>
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<li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
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<li> These lecture notes
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<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a> --></li>
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<li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
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<li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
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<li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
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‎doc/pub/week35/html/week35.html‎

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<ol>
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<li> These lecture notes</li>
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<li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
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<li> These lecture notes
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<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a> --></li>
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<li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
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<li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
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<li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
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‎doc/pub/week35/ipynb/ipynb-week35-src.tar.gz‎

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