While studying maths for my undergraduate and masters degrees at Cambridge, I was always interested in practical applications of the maths that I learned. This is what led me to do a PhD in machine learning at Oxford. My current research interests fall broadly under scaling up probabilistic inference, that is, methods of learning probabilistic models efficiently in big data settings.
What is Machine Learning?
Machine learning is all around us; on our phones, powering social networks, helping the police and doctors, scientists and mayors. But how does it work? In this animation we take a look at how statistics and computer science can be used to make machines that learn.