Advanced Biomedical Machine Learning, A.Y. 2022/23
Master's Degree Course, University of Pavia, Department of Electric, Computer and Biomedical Engineering, 2023
This course explore a variety of advanced machine learning methods for mining clinical data. Much of this exploration is a hands-on experience, using time in class to expose the principles of each method. In this course I give lectures the Natural Language Processing module, prepare and co-supervise lab work and review assignments. Details about the module:
- Frontal lessons: NLP fundamentals from frequency counts to word embeddings (6 hrs).
- NLP lab: hands-on lab where students have to build a simple embedding-based NLP pipeline for binary classification (4 hrs).
- Journal Club: students read, review and present a NLP-related paper (2 hrs).
- Projects review: evaluation of students’ projects at the end of the course (2 hrs).