OXFORD ML SUMMER SCHOOL
Oxford Machine Learning Summer Schools (OxML) are one of our annual events that aim 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 (DL).
The school offers state of the art training in ML/DL and their applications in Sustainable Development Goals (SDGs) such as healthcare, climate action, finance/ESG and more. Our speakers are world-renowned professors and scientists, more than what one can find in one university or country.
Our diverse global audience enriches our programs — with ~40% women and more than 50% from underrepresented groups in AI, we offer a unique opportunity (for recruitment, brand, and corporate citizenship) to our partners and sponsors.
In the past years, we organised multiple schools (e.g., OxML 2020, ML Fundamentals 2021, ML for social good 2021, and OxML 2021) and covered multiple topics such as:
Representation learning, vision, NLP, reinforcement learning, …
Statistical ML, bayesian ML, Gaussian processes, causal ML,...
Medical imaging, EHR, genomics, …
And more topics in finance, sustainability, …
For more information about our previous events including our programs, speakers, organisers, etc. please visit: