update of schedule
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@@ -155,7 +155,7 @@ For the reading assignments we use the following abbreviations:
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- Lecture Thursday: Ensemble methods, bagging and random forests, boosting.
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- Video of Lecture at https://youtu.be/mK48PfCxgYk
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- Lecture Friday: Adaptive boosting and gradient boosting, summary of decision trees and ensemble methods
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- Video of Lecture at
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- Video of Lecture at https://youtu.be/v8eJBFeZKuI
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- Reading recommendations:
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- See lecture notes for week 45 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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- Hastie et al chapter 10 and Geron chapters 5 and 6
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@@ -768,7 +768,7 @@ const thebe_selector_output = ".output, .cell_output"
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</li>
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<li><p>Lecture Friday: Adaptive boosting and gradient boosting, summary of decision trees 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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<li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/v8eJBFeZKuI">https://youtu.be/v8eJBFeZKuI</a></p></li>
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</ul>
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</li>
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<li><p>Reading recommendations:</p>
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@@ -155,7 +155,7 @@ For the reading assignments we use the following abbreviations:
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- Lecture Thursday: Ensemble methods, bagging and random forests, boosting.
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- Video of Lecture at https://youtu.be/mK48PfCxgYk
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- Lecture Friday: Adaptive boosting and gradient boosting, summary of decision trees and ensemble methods
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- Video of Lecture at
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- Video of Lecture at https://youtu.be/v8eJBFeZKuI
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- Reading recommendations:
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- See lecture notes for week 45 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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- Hastie et al chapter 10 and Geron chapters 5 and 6
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