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