DescriptionThe topic of this BoF is to explore the growing interaction between Machine Learning and Big Data. In particular, it will focus on how integrated collaborative platforms, multi-architectures frameworks, and cloud computing enable the solution of multi-objective problems (i.e. multivariate regression, sequence and multitask learning, multi-label classification).
The session is intended to bring together data scientists and researchers interested in the application of Big Data technology for Machine Learning in their respective fields but also technology experts, in order to highlight innovative strategies to boost collaboration and to solve more complex problems. The chosen format is a session of talks.