Applied Machine Learning course at Bioinformatics LM and DSC PhD (University of Bologna, AY 2020-21)

Applying machine learning and deep learning
techniques to real life datasets:
improve your skills by applying ML!

AML Basic: connect to the Teams channel

This course is part of the Bioinformatics LM curriculum and of the Data Science and Computation PhD programme at University of Bologna. It will introduce the learner to applied machine learning and deep learning, focusing more on intuition on the theory and practical techniques and methods than on the theoretical statistical foundations behind these methods. The course will proceed through phases, starting from intuition-based understanding of the key aspects of machine learning, moving to hands-on exercises with various tools needed in a "data scientist virtual backpack", then proceeding through applications of ML/DL methods to problems of increasing complexity. Applications to real life datasets - as well as some peculiar scientific datasets - will be discussed throughout the course.

For the AY 2020-21, the course is offered as a set of lectures and hands-on (either fully online or hybrid) corresponding to 4+6 CFU (roughly 80 hours) in total. It is divided into two parts. The first part is "Applied ML - Basic" (4 CFU). The second part is "Applied ML - Advanced" (6 CFU). Attendance is open, anyone interested is always welcome! This is specially true for PhD students from programmes other than DSC (e.g. in the past we had PhD students in Physics, Mathematics, Economics, and more). The final evaluation will require to pass a written exam and to finalize a coding project (details at the lectures).