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update week 35

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Morten Hjorth-Jensen
2025-07-18 11:57:49 +02:00
parent 7dce00d62c
commit 764e76f62f
9 changed files with 1689 additions and 1352 deletions
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doc/pub/week35/html/._week35-bs000.html
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@@ -375,7 +375,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>August 26-30, 2024</h4>
<h4>August 25-29, 2025</h4>
</center> <!-- date -->
<br>
@@ -414,7 +414,7 @@ MathJax.Hub.Config({
</footer>
-->
<center style="font-size:80%">
<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
</center>
</body>
</html>
doc/pub/week35/html/._week35-bs001.html
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@@ -374,8 +374,8 @@ MathJax.Hub.Config({
<h3 id="reading-recommendations" class="anchor">Reading recommendations: </h3>
<ol>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/VKakN-e4aUA" target="_self">Video of lecture</a></li>
<li> These lecture notes
<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_self">Video of lecture</a> --></li>
<li> <a href="https://youtu.be/yiY0OltU1s8" target="_self">Video for exercises week 35</a></li>
<li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
<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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@@ -375,7 +375,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>August 26-30, 2024</h4>
<h4>August 25-29, 2025</h4>
</center> <!-- date -->
<br>
@@ -414,7 +414,7 @@ MathJax.Hub.Config({
</footer>
-->
<center style="font-size:80%">
<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
</center>
</body>
</html>
doc/pub/week35/html/week35-reveal.html
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@@ -181,13 +181,13 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>August 26-30, 2024</h4>
<h4>August 25-29, 2025</h4>
</center> <!-- date -->
<br>
<center style="font-size:80%">
<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
</center>
</section>
@@ -207,8 +207,8 @@ MathJax.Hub.Config({
<h3 id="reading-recommendations">Reading recommendations: </h3>
<ol>
<p><li> These lecture notes</li>
<p><li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
<p><li> These lecture notes
<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a> --></li>
<p><li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
<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>
<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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@@ -304,7 +304,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>August 26-30, 2024</h4>
<h4>August 25-29, 2025</h4>
</center> <!-- date -->
<br>
@@ -323,8 +323,8 @@ MathJax.Hub.Config({
<h3 id="reading-recommendations">Reading recommendations: </h3>
<ol>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
<li> These lecture notes
<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a> --></li>
<li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
<li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
<li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
@@ -3192,7 +3192,7 @@ $$
<!-- ------------------- end of main content --------------- -->
<center style="font-size:80%">
<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
</center>
</body>
</html>
doc/pub/week35/html/week35.html
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@@ -381,7 +381,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>August 26-30, 2024</h4>
<h4>August 25-29, 2025</h4>
</center> <!-- date -->
<br>
@@ -400,8 +400,8 @@ MathJax.Hub.Config({
<h3 id="reading-recommendations">Reading recommendations: </h3>
<ol>
<li> These lecture notes</li>
<li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
<li> These lecture notes
<!-- o <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a> --></li>
<li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
<li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
<li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
@@ -3269,7 +3269,7 @@ $$
<!-- ------------------- end of main content --------------- -->
<center style="font-size:80%">
<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
</center>
</body>
</html>
doc/pub/week35/ipynb/ipynb-week35-src.tar.gz
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doc/pub/week35/ipynb/week35.ipynb
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doc/src/week35/week35.do.txt
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@@ -1,6 +1,6 @@
TITLE: Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression
AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo
DATE: August 26-30, 2024
DATE: August 25-29, 2025
!split
@@ -17,7 +17,7 @@ o Monday: Ridge and Lasso regression and Singular Value Decomposition
=== Reading recommendations: ===
o These lecture notes
o "Video of lecture":"https://youtu.be/VKakN-e4aUA"
# o "Video of lecture":"https://youtu.be/VKakN-e4aUA"
o "Video for exercises week 35":"https://youtu.be/yiY0OltU1s8"
o Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)
o Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.