The course is divided into two modules. In the first, concepts relating to Data Science and Artificial Intelligence will be introduced, discussing their applications in various contexts, and subsequently focusing on Machine Learning (ML), supervised classification and evaluation metrics of machine learning systems.
In the second module, the concepts learned will be put into practice, developing analysis processes based on ML techniques, and applied to specific objectives, such as text and image classification, automatic sentiment analysis, recommendation systems.
