This is the fourth episode of the ACVC Talks on Digital Health
Machine learning problems can generally be divided into three types: classification and regression, which are known as supervised learning, and unsupervised learning ,which in the context of machine learning applications often refers to clustering, which is the process of grouping object with their counterparts, on the basis of their characteristics.
In this video, we will learn how to apply these three main techniques of machine learning to the analysis of clinical data.
Presented by Marina Paolanti, Assistant Professor in Computer Science, Department of Political Sciences, Communication and International Relations, University of Macerata, Italy.
Our mission: To reduce the burden of cardiovascular disease.