Course material for module 10
In-class lectures and exercise supervision are cancelled per now. Further information follows via Blackboard.
We recommend the students to self-study the lecture material for module 10 in the following order:
1) The online videos:
- Watcht the videos Online lecture by Hastie and Tibshirani, Chapter 10
- Alternatively (or in addition), read Chapter 10 in the textbook by James, Witten, Hastie, Tibshirani (2013): "An Introduction to Statistical Learning".
2) Lecture notes:
Go through the lecture notes:
10Unsuper_Lecture1.pdf
10Unsuper_Lecture1.Rmd
10Unsuper_Lecture2.pdf
10Unsuper_Lecture2.Rmd
3) Labs
Work yourself through the labs:
unsupervised_learning_code_lab1.pdf
unsupervised_learning_code_lab1.html
unsupervised_learning_code_lab1.Rmd
unsupervised_learning_code_lab2.pdf
unsupervised_learning_code_lab2.html
unsupervised_learning_code_lab2.Rmd
unsupervised_learning_code_lab3.pdf
unsupervised_learning_code_lab3.html
unsupervised_learning_code_lab3.Rmd
4) Recommended exercises:
Solve the exercises (solutions will come soon):
5) Questions?
We will update you about possibilities to ask and discuss questions that will come up for this module. Infos follow via Blackboard.