References
Note: The references will be continually updated throughout the semester!
📚 Books
- Deisenroth, M. P., Faisal, A. A., & Ong, C. S. (2020). Mathematics for Machine Learning. Cambridge: Cambridge University Press.
- Magnus, R. (2022). Metric Spaces: A Companion to Analysis. Switzerland: Springer International Publishing.
- Lay, D. C., Lay, S. R., McDonald, J. (2016). Linear Algebra and Its Applications. United States: Pearson.
- Wasserman, L. (2013). All of Statistics: A Concise Course in Statistical Inference. Switzerland: Springer New York.
- A. Mattuck (1999). Introduction to Analysis. Prentice Hall.
- Klenke, A. (2020). Probability Theory: A Comprehensive Course. Germany: Springer International Publishing.
- Hoffman, K., Kunze, R. A. (1971). Linear Algebra. India: Prentice-Hall.
📝 Courses/Lecture Notes
- Linear Algebra Bachelor’s Moodle course: Methoden der Linearen Algebra in der Statistik (Nagler) (in German)
🎥 Videos
- Coming soon…