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@@ -410,7 +410,9 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
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- Lecture Friday: Support Vector Machines and Summary of Course
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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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- Bishop chapter 7, with sections 7.1 and 7.2 as the essential ones
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@@ -172,18 +172,12 @@ For the reading assignments we use the following abbreviations:
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### Week 47 November 22-26
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- Lab Wednesday: Work on project 3
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- Lecture Thursday: Unsupervised Learning, Principal Component Analysis (PCA)
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- Lecture Friday: Unsupervised Learning and PCA, k-means and Clustering
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- Lecture Thursday: Support Vector Machines
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- Lecture Friday: Support Vector Machines and Summary of course
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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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### Week 48 November 29- December 2
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- Lab Wednesday: Work on project 3
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- Lecture Thursday: Unsupervised Learning and Clustering
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- Lecture Friday: Summary of course
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- Reading recommendations:
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- See lecture notes for week 48 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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- Bishop chapter 7, with sections 7.1 and 7.2 as the essential ones
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