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Morten Hjorth-Jensen
2022-11-08 08:06:08 +01:00
parent eb51e13584
commit 7ed40100be
6 changed files with 13 additions and 13 deletions
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doc/LectureNotes/_build/.doctrees/environment.pickle
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doc/LectureNotes/_build/.doctrees/schedule.doctree
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doc/LectureNotes/_build/html/_sources/schedule.md
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@@ -151,14 +151,14 @@ For the reading assignments we use the following abbreviations:
- 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.
- Lecture Thursday: Ensemble methods, bagging and random forests
- Lab Wednesday: Work on project 2, project 3 available November 11.
- Lecture Thursday: Ensemble methods, bagging and random forests, boosting.
- Video of Lecture at
- Lecture Friday: Boosting and gradient boosting
- Lecture Friday: Adaptive boosting and gradient boosting, summary of decision trees and ensemble methods
- Video of Lecture at
- Reading recommendations:
- See lecture notes for week 45 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Hastie et al chapter 10
- Hastie et al chapter 10 and Geron chapters 5 and 6
### Week 46 November 14-18
- Lab Wednesday: Work on project 3
doc/LectureNotes/_build/html/schedule.html
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@@ -760,13 +760,13 @@ const thebe_selector_output = ".output, .cell_output"
<div class="section" id="week-45-november-7-11">
<h3>Week 45 November 7-11<a class="headerlink" href="#week-45-november-7-11" title="Permalink to this headline"></a></h3>
<ul class="simple">
<li><p>Lab Wednesday: Work on project 2, project 3 available.</p></li>
<li><p>Lecture Thursday: Ensemble methods, bagging and random forests</p>
<li><p>Lab Wednesday: Work on project 2, project 3 available November 11.</p></li>
<li><p>Lecture Thursday: Ensemble methods, bagging and random forests, boosting.</p>
<ul>
<li><p>Video of Lecture at</p></li>
</ul>
</li>
<li><p>Lecture Friday: Boosting and gradient boosting</p>
<li><p>Lecture Friday: Adaptive boosting and gradient boosting, summary of decision trees and ensemble methods</p>
<ul>
<li><p>Video of Lecture at</p></li>
</ul>
@@ -774,7 +774,7 @@ const thebe_selector_output = ".output, .cell_output"
<li><p>Reading recommendations:</p>
<ul>
<li><p>See lecture notes for week 45 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 chapter 10</p></li>
<li><p>Hastie et al chapter 10 and Geron chapters 5 and 6</p></li>
</ul>
</li>
</ul>
doc/LectureNotes/_build/html/searchindex.js
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doc/LectureNotes/schedule.md
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@@ -151,14 +151,14 @@ For the reading assignments we use the following abbreviations:
- 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.
- Lecture Thursday: Ensemble methods, bagging and random forests
- Lab Wednesday: Work on project 2, project 3 available November 11.
- Lecture Thursday: Ensemble methods, bagging and random forests, boosting.
- Video of Lecture at
- Lecture Friday: Boosting and gradient boosting
- Lecture Friday: Adaptive boosting and gradient boosting, summary of decision trees and ensemble methods
- Video of Lecture at
- Reading recommendations:
- See lecture notes for week 45 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Hastie et al chapter 10
- Hastie et al chapter 10 and Geron chapters 5 and 6
### Week 46 November 14-18
- Lab Wednesday: Work on project 3