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Morten Hjorth-Jensen
2021-11-04 10:09:48 +01:00
parent 6e45d9e9ed
commit b23b684c1e
8 changed files with 144 additions and 144 deletions
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doc/pub/week40/ipynb/week40.ipynb
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],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
@@ -3463,7 +3463,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
"version": "3.8.8"
}
},
"nbformat": 4,
doc/pub/week44/html/._week44-bs001.html
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@@ -350,7 +350,7 @@ MathJax.Hub.Config({
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
<ol>
<li> Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_self">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
<li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_self">Lecture notes</a></li>
<li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_self">Lecture notes</a>. Bishop's chapter 9.1 is also a good read.</li>
</ol>
</div>
</div>
doc/pub/week44/html/week44-reveal.html
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<p>
<ol>
<p><li> Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
<p><li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_blank">Lecture notes</a></li>
<p><li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_blank">Lecture notes</a>. Bishop's chapter 9.1 is also a good read.</li>
</ol>
</div>
</section>
doc/pub/week44/html/week44-solarized.html
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@@ -310,7 +310,7 @@ MathJax.Hub.Config({
<p>
<ol>
<li> Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
<li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_blank">Lecture notes</a></li>
<li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_blank">Lecture notes</a>. Bishop's chapter 9.1 is also a good read.</li>
</ol>
</div>
doc/pub/week44/html/week44.html
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@@ -387,7 +387,7 @@ MathJax.Hub.Config({
<p>
<ol>
<li> Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf" target="_blank">STK-IN4300, lecture 7</a>. Chapter 9.2 of Hastie et al contains also a good discussion.</li>
<li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_blank">Lecture notes</a></li>
<li> Clustering and PCA, see Geron's chapter 8 and <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html" target="_blank">Lecture notes</a>. Bishop's chapter 9.1 is also a good read.</li>
</ol>
</div>
doc/pub/week44/ipynb/ipynb-week44-src.tar.gz
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doc/pub/week44/ipynb/week44.ipynb
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doc/src/week44/week44.do.txt
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@@ -17,7 +17,7 @@ o "Video on Clustering":"https://www.youtube.com/watch?v=esmzYhuFnds&ab_channel=
!bblock Reading
o Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from "STK-IN4300, lecture 7":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf". Chapter 9.2 of Hastie et al contains also a good discussion.
o Clustering and PCA, see Geron's chapter 8 and "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html"
o Clustering and PCA, see Geron's chapter 8 and "Lecture notes":"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter8.html". Bishop's chapter 9.1 is also a good read.
!eblock
!split