Update README.md

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Morten Hjorth-Jensen
2021-11-09 07:37:10 +01:00
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@@ -383,16 +383,18 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
- 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. Deadline project 2 is November 15.
- Lecture Thursday: Ensemble methods, bagging and random forests
- Lecture Friday: Boosting and gradient boosting
- Lab Wednesday: Work on project 2, project 3 available Friday 12th. Deadline project 2 is November 15.
- Lecture Thursday: Decision Trees and Ensemble methods, Bagging and Voting
- Lecture Friday: Ensemble Methods, Random Forests, Boosting and gradient boosting
- Reading recommendations:
- See lecture notes for week 45 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Hastie et al chapter 10
- Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7.
- See also lecture from "STK-IN4300, lecture 7":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf".
- Chapter 9.2 of Hastie et al contains also a good discussion.
### Week 46 November 15-19
- Lab Wednesday: Work on project 3
- Lecture Thursday: Support Vector machines
- Lecture Thursday: Ensemble Methods, Random Forests, Boosting and gradient boosting
- Lecture Friday: Support Vector machines
- Reading recommendations:
- See lecture notes for week 46 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
@@ -400,18 +402,11 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
### Week 47 November 22-26
- Lab Wednesday: Work on project 3
- Lecture Thursday: Unsupervised Learning, Principal Component Analysis (PCA)
- Lecture Friday: Unsupervised Learning and PCA, k-means and Clustering
- Lecture Thursday: Support Vector Machines
- Lecture Friday: Support Vector Machines and Summary of Course
- Reading recommendations:
- See lecture notes for week 47 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
### Week 48 November 29- December 2
- Lab Wednesday: Work on project 3
- Lecture Thursday: Unsupervised Learning and Clustering
- Lecture Friday: Summary of course
- Reading recommendations:
- See lecture notes for week 48 at https://compphysics.github.io/MachineLearning/doc/web/course.html.