Speaker
Andreia Gaudêncio
(FCT-FCCN, CNCA)
Description
This introductory Machine Learning (ML) workshop presents, in 60 minutes, the essential pillars for building predictive models. It covers initial variable exploration, criteria for feature selection, data splitting, and comparison between different algorithms. The goal is to provide a clear and practical overview of the ML workflow, enabling participants to understand the technical decisions behind each stage of the process. This workshop will use the resources of the Portuguese supercomputer Deucalion.
