updating schedule

This commit is contained in:
Morten Hjorth-Jensen
2022-11-01 19:15:22 +01:00
parent 4689245228
commit a79fd7e627
6 changed files with 15 additions and 15 deletions
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@@ -142,13 +142,13 @@ For the reading assignments we use the following abbreviations:
- For PCA, see lecture notes chapter 11 and Geron's text chapter 8
### Week 44 October 31-November 4
- Lab Wednesday: Work on project 2
- Lecture Thursday: Summary on PCA and discussion of Clustering for unsupervised learning. Decision trees, classification and regression
- Lecture Thursday: Decision trees, basic algorithms for classification and regression
- Video of Lecture at
- Lecture Friday: Decision trees, basic algorithms
- Lecture Friday: From trees to forests and ensemble methods
- Video of Lecture at
- Reading recommendations:
- See lecture notes for week 44 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Hastie et al sections 9.1 and 9.2. Geron's text chapter 6 (Decision trees) and chapter 8 on PCA and Clustering
- Hastie et al sections 9.1 and 9.2. Geron's text chapter 6 (Decision trees)
### Week 45 November 7-11
- Lab Wednesday: Work on project 2, project 3 available.
@@ -178,7 +178,7 @@ For the reading assignments we use the following abbreviations:
- Reading recommendations:
- See lecture notes for week 47 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Geron's chapter 5.
- Hastie et al Chapter 12 (sections 12.1-12.3 are the most relevant ones)
- Hastie et al Chapter 12 (sections 1,2.1-12.3 are the most relevant ones)
- Bishop chapter 7, with sections 7.1 and 7.2 as the essential ones
+4 -4
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@@ -739,12 +739,12 @@ const thebe_selector_output = ".output, .cell_output"
<h3>Week 44 October 31-November 4<a class="headerlink" href="#week-44-october-31-november-4" title="Permalink to this headline"></a></h3>
<ul class="simple">
<li><p>Lab Wednesday: Work on project 2</p></li>
<li><p>Lecture Thursday: Summary on PCA and discussion of Clustering for unsupervised learning. Decision trees, classification and regression</p>
<li><p>Lecture Thursday: Decision trees, basic algorithms for classification and regression</p>
<ul>
<li><p>Video of Lecture at</p></li>
</ul>
</li>
<li><p>Lecture Friday: Decision trees, basic algorithms</p>
<li><p>Lecture Friday: From trees to forests and ensemble methods</p>
<ul>
<li><p>Video of Lecture at</p></li>
</ul>
@@ -752,7 +752,7 @@ const thebe_selector_output = ".output, .cell_output"
<li><p>Reading recommendations:</p>
<ul>
<li><p>See lecture notes for week 44 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>
<li><p>Hastie et al sections 9.1 and 9.2. Gerons text chapter 6 (Decision trees) and chapter 8 on PCA and Clustering</p></li>
<li><p>Hastie et al sections 9.1 and 9.2. Gerons text chapter 6 (Decision trees)</p></li>
</ul>
</li>
</ul>
@@ -815,7 +815,7 @@ const thebe_selector_output = ".output, .cell_output"
<ul>
<li><p>See lecture notes for week 47 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>
<li><p>Gerons chapter 5.</p></li>
<li><p>Hastie et al Chapter 12 (sections 12.1-12.3 are the most relevant ones)</p></li>
<li><p>Hastie et al Chapter 12 (sections 1,2.1-12.3 are the most relevant ones)</p></li>
<li><p>Bishop chapter 7, with sections 7.1 and 7.2 as the essential ones</p></li>
</ul>
</li>
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+5 -5
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@@ -142,13 +142,13 @@ For the reading assignments we use the following abbreviations:
- For PCA, see lecture notes chapter 11 and Geron's text chapter 8
### Week 44 October 31-November 4
- Lab Wednesday: Work on project 2
- Lecture Thursday: Summary on PCA and discussion of Clustering for unsupervised learning. Decision trees, classification and regression
- Lecture Thursday: Decision trees, basic algorithms for classification and regression
- Video of Lecture at
- Lecture Friday: Decision trees, basic algorithms
- Lecture Friday: From trees to forests and ensemble methods
- Video of Lecture at
- Reading recommendations:
- See lecture notes for week 44 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Hastie et al sections 9.1 and 9.2. Geron's text chapter 6 (Decision trees) and chapter 8 on PCA and Clustering
- Hastie et al sections 9.1 and 9.2. Geron's text chapter 6 (Decision trees)
### Week 45 November 7-11
- Lab Wednesday: Work on project 2, project 3 available.
@@ -178,7 +178,7 @@ For the reading assignments we use the following abbreviations:
- Reading recommendations:
- See lecture notes for week 47 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Geron's chapter 5.
- Hastie et al Chapter 12 (sections 12.1-12.3 are the most relevant ones)
- Hastie et al Chapter 12 (sections 1,2.1-12.3 are the most relevant ones)
- Bishop chapter 7, with sections 7.1 and 7.2 as the essential ones