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Morten Hjorth-Jensen
2023-09-07 15:25:31 +02:00
parent 4bedd6e13b
commit d14a205300
8 changed files with 1228 additions and 1113 deletions
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doc/pub/week36/html/._week36-bs001.html
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@@ -278,6 +278,7 @@ MathJax.Hub.Config({
<li> Linear Regression and links with Statistics</li>
<li> <a href="https://www.deeplearningbook.org/" target="_self">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_self">Video of lecture</a></li>
</ul>
</ul>
<p>
doc/pub/week36/html/._week36-bs002.html
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@@ -265,7 +265,7 @@ MathJax.Hub.Config({
<!-- !split -->
<h2 id="material-for-the-active-learning-sessions-tuesday-and-wednesday" class="anchor">Material for the active learning sessions Tuesday and Wednesday </h2>
<p>The material here contains a summary from last Week and discussion of SVD, Ridge and Lasso regression with examples </p>
<p>The material here contains a summary from last week and discussion of SVD, Ridge and Lasso regression with examples </p>
<p>
<!-- navigation buttons at the bottom of the page -->
doc/pub/week36/html/week36-reveal.html
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<p><li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<p><li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<p><li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
</ul>
<p>
</ul>
@@ -226,7 +228,7 @@ MathJax.Hub.Config({
<section>
<h2 id="material-for-the-active-learning-sessions-tuesday-and-wednesday">Material for the active learning sessions Tuesday and Wednesday </h2>
<p>The material here contains a summary from last Week and discussion of SVD, Ridge and Lasso regression with examples </p>
<p>The material here contains a summary from last week and discussion of SVD, Ridge and Lasso regression with examples </p>
</section>
<section>
doc/pub/week36/html/week36-solarized.html
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@@ -253,12 +253,13 @@ MathJax.Hub.Config({
<li> Linear Regression and links with Statistics</li>
<li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
</ul>
</ul>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="material-for-the-active-learning-sessions-tuesday-and-wednesday">Material for the active learning sessions Tuesday and Wednesday </h2>
<p>The material here contains a summary from last Week and discussion of SVD, Ridge and Lasso regression with examples </p>
<p>The material here contains a summary from last week and discussion of SVD, Ridge and Lasso regression with examples </p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="linear-regression-and-the-svd">Linear Regression and the SVD </h2>
doc/pub/week36/html/week36.html
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@@ -330,12 +330,13 @@ MathJax.Hub.Config({
<li> Linear Regression and links with Statistics</li>
<li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
</ul>
</ul>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="material-for-the-active-learning-sessions-tuesday-and-wednesday">Material for the active learning sessions Tuesday and Wednesday </h2>
<p>The material here contains a summary from last Week and discussion of SVD, Ridge and Lasso regression with examples </p>
<p>The material here contains a summary from last week and discussion of SVD, Ridge and Lasso regression with examples </p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="linear-regression-and-the-svd">Linear Regression and the SVD </h2>
doc/pub/week36/ipynb/ipynb-week36-src.tar.gz
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doc/pub/week36/ipynb/week36.ipynb
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doc/src/week36/week36.do.txt
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@@ -15,11 +15,11 @@ DATE: September 4-8, 2023
* Linear Regression and links with Statistics
* "Recommended Reading: Goodfellow et al chapter 3 on probability theory":"https://www.deeplearningbook.org/"
* See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)
* "Video of lecture":"https://youtu.be/Kc20CFK0z7Y"
!split
===== Material for the active learning sessions Tuesday and Wednesday =====
The material here contains a summary from last Week and discussion of SVD, Ridge and Lasso regression with examples
The material here contains a summary from last week and discussion of SVD, Ridge and Lasso regression with examples
!split
===== Linear Regression and the SVD =====