@@ -6,19 +6,19 @@ DATE: September 1-5, 2025
66!split
77===== Plans for week 36 =====
88
9- * Material for the lecture on Monday September 2
10- o Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis
11- o Derivation of Gradient descent and discussion of implementations for
9+ _Material for the lecture on Monday September 1_
10+ o Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis
11+ o Derivation of Gradient descent and discussion of implementations for
1212# * "Video of lecture":"https://youtu.be/oHjqjUB36KE"
1313# * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
14- * Material for the active learning sessions on Tuesday and Wednesday (see at the end of this slides)
15- * Technicalities concerning Ridge and Lasso linear regression.
16- * Presentation and discussion of the first project
14+ _Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides)_
15+ o Technicalities concerning Ridge and Lasso linear regression.
16+ o Presentation and discussion of the first project
1717# * "Video of lab session":"https://youtu.be/ZrIdZdZtHe0"
1818
19- * Reading suggestion:
20- o Goodfellow et al, Deep Learning, introduction to gradient descent, see chapter 4.3 at https://www.deeplearningbook.org/contents/numerical.html
21- o Rashcka et al, pages 37-44 and pages 278-283 with focus on linear regression.
19+ _Reading suggestion:_
20+ o Goodfellow et al, Deep Learning, introduction to gradient descent, see chapter 4.3 at https://www.deeplearningbook.org/contents/numerical.html
21+ o Rashcka et al, pages 37-44 and pages 278-283 with focus on linear regression.
2222
2323!split
2424===== Material for lecture Monday September 2 =====
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