At OxML 2020, we aimed to provide the participants with best-in-class training on a broad range of advanced topics and developments in machine learning (ML) — including, deep learning. While we covered some of the key topics in domains such as Bayesian ML, Computer Vision, NLP and reinforcement learning (as well as areas such as Causal ML, Topological ML, and Transfer Learning that the field is showing a growing interest in), the school had a special focus on medicine (the UN’s sustainable development goal #3), through a range of applied talks at the interface of machine learning and healthcare/biomedical sciences (e.g., medical imaging, genomics, drug discovery, and learning from multi-modal medical data). Please see this video for a short recap.
TAs & WORKSHOP TEAM
PhD student at the University of Oxford