2nd MLFPM Summer School: Antonio Artés-Rodríguez скачать в хорошем качестве

2nd MLFPM Summer School: Antonio Artés-Rodríguez

Second Summer School "Machine Learning Frontiers in Precision Medicine", September 21-23, 2020 Antonio Artés-Rodríguez (Universidad Carlos III de Madrid): Probabilistic Machine Learning, Graphical and Latent Variable Models This talk will provide a comprehensive overview to probabilistic machine learning and graphical models for data analysis. We will cover shallow and deep latent variable models, including Markovian ones for homogeneous and heterogenous data. Starting from the basic inference methods, we will provide an overview of the current state-of-the-art inference methods. The summer school is part of the H2020 Marie Curie Innovative Training Network "Machine Learning Frontiers in Precision Medicine" (https://mlfpm.eu). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 813533.