Machine Learning Methods Computerphile

Summary

We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ... More about Jane Street internships at: jane-st.co/internship- Deterministic route finding isn't enough for the real world - Nick Hawes of the Oxford Robotics Institute takes us through some ... There's a lot of talk of image and text AI with large language models and image generators generating media (in both senses of ... How do computers represent multi-dimensional data? Dr Mike Pound explains the mapping. How do we measure harm to improve the performance of Ai in the real world? Dr Hana Chockler is a Reader in Computer Science ... How do you represent a word in AI? Rob Miles reveals how words can be formed from multi-dimensional vectors - with some ... Bayesian logic is already helping to improve Bug Byte puzzle here - bit.ly/4bnlcb9 - and apply to Jane Street programs here - bit.ly/3JdtFBZ (episode sponsor). K-means sorts data based on averages. Dr Mike Pound explains how it works. Fire Pong in Detail: youtu.be/ZoZMMg1r_Oc ... The basis of almost all functional programming, Professor Graham Hutton explains Lambda Calculus. When the 3D dataset is too small to create models of frogs on stilts we have to think of a different way - Lewis Stuart is based at the ...