Machine Learning Methods Computerphile Machine Learning Methods Computerphile
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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 ... With the explosion of AI image generators, AI images are everywhere, but how do they 'know' how to turn text strings into ... How to we check to see if a black box system is giving us the right result for the right reason? Even a broken clock is correct twice ... They're called 'Finite State Automata" and occupy the centre of Chomsky's Hierarchy - Professor Brailsford explains the ultimate ... Coding Partial Derivatives in Python is a good way to understand what
Described as GenAIs greatest flaw, indirect prompt injection is a big problem, Mike Pound from University of Nottingham explains ... The real-world doesn't graph well. Sydney Von Arx discusses GenAI & RL -- See Jane Street's Bug Byte puzzle here - - and apply to Jane Street programs here - (episode sponsor). Just what is happening inside a Convolutional Neural Network? Dr Mike Pound shows us the images in between the input and the ... How do computers represent multi-dimensional data? Dr Mike Pound explains the mapping.
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Last Updated: June 7, 2026
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