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Morten Hjorth-Jensen
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@@ -374,14 +374,14 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
- For PCA, see lecture notes chapter 11 and Geron's text chapter 8
### Week 44 November 1-5
- Lab Wednesday: Work on project 2
- Lecture Thursday: Decision trees, classification and regression
- Lecture Thursday: Summary on PCA and discussion of Clustering for unsupervised learning. Decision trees, classification and regression
- Lecture Friday: Decision trees, basic algorithms
- 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
- Hastie et al sections 9.1 and 9.2. Geron's text chapter 6 (Decision trees) and chapter 8 on PCA and Clustering
### Week 45 November 8-12
- Lab Wednesday: Work on project 2, project 3 available
- Lab Wednesday: Work on project 2, project 3 available. Deadline project 2 is November 15.
- Lecture Thursday: Ensemble methods, bagging and random forests
- Lecture Friday: Boosting and gradient boosting
- Reading recommendations: