In this module, a number of foundational concepts and methods related with Statistical Machine Learning will be reviewed. Typically, Probability and Statistics, Linear Algebra are the foundations for statistical machine learning methods. It is essential that you work through all information here in order to fully enjoy the later sessions of this unit.
Please be aware that we have a whole unit on this area 👉 :
- Lecture C: Linear Model and Matrix ㊙️
- Lecture D: Matrix Factorization (1) ㊙️
- Lecture E: Matrix Factorization (2) ㊙️
Not all above topics will be gone through in the lecture classes, and the unit chair will decide which one(s) to cover, based on the cohort's background and interests.