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Morten Hjorth-Jensen
2023-09-03 14:14:57 +02:00
parent 3f9c0345fd
commit 3cc1f701c0
7 changed files with 266 additions and 258 deletions
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doc/pub/week36/html/._week36-bs001.html
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<li> Material for the lecture on Thursday September 7</li>
<ul>
<li> Linear Regression and links with Statistics, Resampling methods</li>
<li> Recommended Reading: Hastie et al chapter 3, see <a href="https://link.springer.com/book/10.1007/978-0-387-84858-7" target="_self"><tt>https://link.springer.com/book/10.1007/978-0-387-84858-7</tt></a></li>
<li> Recommended Reading: Goodfellow et al chapter 3 on probability theory, see URL:""</li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
</ul>
</ul>
<p>
doc/pub/week36/html/week36-reveal.html
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<p><li> Linear Regression and links with Statistics, Resampling methods</li>
<p><li> Recommended Reading: Hastie et al chapter 3, see <a href="https://link.springer.com/book/10.1007/978-0-387-84858-7" target="_blank"><tt>https://link.springer.com/book/10.1007/978-0-387-84858-7</tt></a></li>
<p><li> Recommended Reading: Goodfellow et al chapter 3 on probability theory, see URL:""</li>
<p><li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
</ul>
<p>
</ul>
doc/pub/week36/html/week36-solarized.html
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<li> Material for the lecture on Thursday September 7</li>
<ul>
<li> Linear Regression and links with Statistics, Resampling methods</li>
<li> Recommended Reading: Hastie et al chapter 3, see <a href="https://link.springer.com/book/10.1007/978-0-387-84858-7" target="_blank"><tt>https://link.springer.com/book/10.1007/978-0-387-84858-7</tt></a></li>
<li> Recommended Reading: Goodfellow et al chapter 3 on probability theory, see URL:""</li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
</ul>
</ul>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
doc/pub/week36/html/week36.html
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<li> Material for the lecture on Thursday September 7</li>
<ul>
<li> Linear Regression and links with Statistics, Resampling methods</li>
<li> Recommended Reading: Hastie et al chapter 3, see <a href="https://link.springer.com/book/10.1007/978-0-387-84858-7" target="_blank"><tt>https://link.springer.com/book/10.1007/978-0-387-84858-7</tt></a></li>
<li> Recommended Reading: Goodfellow et al chapter 3 on probability theory, see URL:""</li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
</ul>
</ul>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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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@@ -12,8 +12,9 @@ DATE: September 4-8, 2023
* Presentation and discussion of first project
* Material for the lecture on Thursday September 7
* Linear Regression and links with Statistics, Resampling methods
* Recommended Reading: Hastie et al chapter 3, see URL:"https://link.springer.com/book/10.1007/978-0-387-84858-7"
* Recommended Reading: Goodfellow et al chapter 3 on probability theory, see URL:""
* See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)
!split
===== Material for the active learning sessions Tuesday and Wednesday =====