Data Scientist com R
Através de 4 módulos e com recurso ao software R, aprenda a organizar e analisar dados com foco na obtenção de soluções orientadas para a resolução de problemas.
Ciência de Dados
Why analyze biomedical text if we have data?
Speaker: Francisco Couto (LASIGE/DI-FCUL).
Challenges in buildings energy management and possible contributions from Data Science
Speaker: Pedro Ferreira (LASIGE/DI-FCUL).
Making Data Science Personal
Speaker: Simon Harper (University of Manchester).
Abstract: We will discuss how data science can be applied to precision medicine and how this requires a different way of thinking and understanding than we typically exhibit when looking at big data.
Online Experiments with Volunteers: Lessons Learned from Eight Years of LabintheWild
Speaker: Katharina Reinecke (University of Washington).
Computational Modeling in Human-Computer Interaction
Speaker: Nikola Banovic (University of Michigan).
Measuring Gait Beyond The Laboratory With Wearable Technology: Applications, Advantages and Challenges
Speaker: Silvia Del Din (Newcastle University).
Making sense from biosignals
Speaker: Hugo Gamboa (Plux).
Competências 4.0, num Sistema Financeiro 2.0 com Conceitos Regulamentares 5.0
Tens o que é necessário para ser um data scientist, numa das principais entidades bancárias em Portugal?
Geostatistical analysis of sardine eggs data - a Bayesian approach
Speaker: Soraia Pereira (CEAUL).