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 ... Deterministic route finding isn't enough for the real world - Nick Hawes of the Oxford Robotics Institute takes us through some ... More about Jane Street internships at: jane-st.co/internship- 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 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 Just what is happening inside a Convolutional Neural Network? Dr Mike Pound shows us the images in between the input and the ... Bug Byte puzzle here - bit.ly/4bnlcb9 - and apply to Jane Street programs here - bit.ly/3JdtFBZ (episode sponsor). Coding Partial Derivatives in Python is a good way to understand what