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Morten Hjorth-Jensen
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@@ -365,11 +365,11 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
### Week 43 October 25-29
- Lab Wednesday: Work on project 2
- Lecture Thursday: Recurrent Neural Networks
- Lecture Friday: Recurrent Neural Networks and time series
- Lecture Friday: Recurrent Neural Networks and time series and principal component analysis (PCA)
- Reading recommendations:
- See lecture notes for week 43 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For RNNs, see Goodfellow et al chapter 10 and discussions in chapter 11 and 12 on practicalities and applications
- 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