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Introduction of Slopes Of Machine Learning Computerphile

Coding Partial Derivatives in Python is a good way to understand what We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ... There's a lot of talk of image and text AI with large language models and image generators generating media (in both senses of ... The algorithm for differentiation relies on some pretty obscure mathematics, but it works! Mark Williams demonstrates Forward ... Mike talks through a binary search bug that was undiscovered for years! Spectre refers to a whole family of potential weaknesses of which Meltdown is just one. Dr Steve Bagley talks about CPU ...

Language Models' Achilles heel: Rob Miles talks about "glitch" tokens, those mysterious words which, which result in gibberish ... Software doesn't deal well with missing data, so what can be done about it? Professor Uwe Aickelin talks about whether we need ... Putting search algorithms into practice. Dr Mike Pound reveals he likes nothing more in his spare time, than sitting in front of the ... Knowledge graphs help computers make sense of data for search, recommendations and other AI tasks, Professor Elena Simperl ... Dicussing implementation with Professor Brailsford. Professor Brailsford emailed me after we recorded this to say that of course ... One of the cleanest ways to cut down a search space when working out point proximity! Mike Pound explains K-Dimension Trees.