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Morten Hjorth-Jensen
2021-09-19 21:56:12 +02:00
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@@ -235,6 +235,10 @@ This course will be delivered in a hybrid mode, with online lectures and on site
7. Videos of teaching material are available via the links at https://compphysics.github.io/MachineLearning/doc/web/course.html;
8. Weekly emails with summary of activities will be mailed to all participants;
# Communication channels
- Chat and communications via canvas.uio.no, GDPR safe
- Slack channel: machinelearninguio.slack.com
- Piazza : enlist at https:piazza.com/uio.no/fall2021/fysstk4155
## Weekly Schedule
@@ -304,7 +308,7 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
### Week 38 September 20-24
- Lab Wednesday: Work on Project 1
- Lecture Thursday: Classification problems and Logistic Regression, from binary cases to several categories
- Lecture Friday: Logistic Regression and gradient optimization
- Lecture Friday: Logistic Regression and start discussions of gradient optimization
- Reading recommendations:
- See lecture notes for week 38 at https://compphysics.github.io/MachineLearning/doc/web/course.html.