Oxford ML School

At AI for Global Goals, we aim to provide our global participants with best-in-class training on a broad range of advanced topics and developments in machine learning (ML) -- including deep learning (DL). Similar to our past schools, OxML 2023 will cover some of the most important topics in machine learning (ML) and deep learning (DL) that the field is showing a growing interest in (e.g., statistical/probabilistic ML, representation learning, reinforcement learning, causal inference, vision & NLP, geometrical DL, ...) and their applications in sustainable development goals (SDGs). Our 2023's program consists of multiple schools such as MLx Health, MLx Finance, NLP, MLx Cases, ML Fundamentals, MLx Products, MLx Ops, etc. OxML Health and Finance schools will take place at the University of Oxford's Mathematical Institute between 8-16 July, 2023, and will follow a hybrid format (i.e., participants can choose to attend online or in-person). The field of Machine Learning (ML), including Deep Learning (DL), has seen tremendous growth, in the past decade. While such developments have simultaneously led to both optimistic and pessimistic views on AI and the future of society/humanity, one thing everyone agrees on is that certain industries and domains have benefited from AI more than others.