Oxford Machine Learning Summer School (OxML)
Published:
Participated in the Oxford Machine Learning Summer School (OxML) in the AI for Global Goals track. Theoretical foundations of ML from statistical methods and optimisation to representation learning and Generative AI.
Topics Covered
- Theoretical foundations of machine learning
- Statistical methods and optimization
- Representation learning
- Generative AI and modern architectures
- AI applications for sustainable development goals
Focus Areas
The program emphasized applying cutting-edge ML techniques to address global challenges including:
- Climate change and environmental sustainability
- Healthcare access in underserved regions
- Education and language accessibility
- Agricultural optimization