ML Fundamentals

Machine Learning bias example

Meg's realization of the importance of Ethical AI

Advice for Women in AI/Machine Learning

Hello Sionna! A Demo of The First Open Source Library for Physical Layer Research

Coding PCA from Scratch : Data Science Code

Full-Stack AI Systems Development with Murali Akula - #563

The path to net zero: Why and how for business and financial markets

Research talk: Maia Chess: A human-like neural network chess engine

Research talk: Torchy: A tracing JIT compiler for PyTorch

Research talk: Causal learning: Discovering causal relations for out-of-distribution generalization

Keynote: Unlocking exabytes of training data through privacy preserving machine learning

Opening remarks: Cloud Intelligence/AIOps

Research talk: Computationally efficient large-scale AI

Research talk: Towards data-efficient machine learning with meta-learning

Panel: Computer vision in the next decade: Deeper or broader

Panel: Causal ML Research at Microsoft

JAX MD: A Framework for Differentiable Atomistic Physics

Does Model Performance Even Matter?

Masters in Financial Economics | Oxford Saïd Business School

Talk: The implicit bias of optimization algorithms in deep learning

Talk: Theoretical Aspects of Gradient Methods in Deep Learning

Bike Share Demand Forecasting

A law of robustness and the importance of overparametrization in deep learning

Why do people attend the Oxford Advanced Management and Leadership Programme?