Oxford Machine Learning Summer School (OxML): MLx Fundamentals 2025 Tweet

MLx Fundamentals covers foundational topics in Statistical ML and Deep Learning, from the mathematics of ML and optimization to fundamentals of deep learning, NLP, and computer vision. Each day combines theoretical and applied lectures with case studies (hands-on coding). Speakers include Yali Du (King's College London), Yuki Asano (University of Amsterdam), Karsten Kreis (NVIDIA), Ishan Misra (Meta), Chi Jin (Princeton University), Biwei Huang (UC San Diego), Meng Fang (University of Liverpool), and others. The program is organized by AI for Global Goals.