Update README.md
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@@ -383,16 +383,18 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
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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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### Week 45 November 8-12
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- Lab Wednesday: Work on project 2, project 3 available. Deadline project 2 is November 15.
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- Lecture Thursday: Ensemble methods, bagging and random forests
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- Lecture Friday: Boosting and gradient boosting
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- Lab Wednesday: Work on project 2, project 3 available Friday 12th. Deadline project 2 is November 15.
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- Lecture Thursday: Decision Trees and Ensemble methods, Bagging and Voting
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- Lecture Friday: Ensemble Methods, Random Forests, Boosting and gradient boosting
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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
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- Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7.
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- See also lecture from "STK-IN4300, lecture 7":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf".
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- Chapter 9.2 of Hastie et al contains also a good discussion.
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### Week 46 November 15-19
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- Lab Wednesday: Work on project 3
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- Lecture Thursday: Support Vector machines
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- Lecture Thursday: Ensemble Methods, Random Forests, Boosting and gradient boosting
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- Lecture Friday: Support Vector machines
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- Reading recommendations:
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- See lecture notes for week 46 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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@@ -400,18 +402,11 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
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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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