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Active (Machine) Learning - Computerphile
Machine Learning Methods - Computerphile
Brute Forcing The Countdown Numbers Game - Computerphile
The Knapsack Problem & Genetic Algorithms - Computerphile
About to Active Machine Learning Computerphile
We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ... Billions of possibilities - Dr Alex Turner borrowed some cluster time to obtain all of the potential results from all the possible games ... Tournament selection, roulette selection, mutation, crossover - all processes used in genetic algorithms. Dr Alex Turner explains ... 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 Just what is happening inside a Convolutional Neural Network? Dr Mike Pound shows us the images in between the input and the ...
AlphaGo beat the Go World Champion 4-1. Why do the creators not know how? Brais Martinez is a Research Fellow & Deep ... Described as GenAIs greatest flaw, indirect prompt injection is a big problem, Mike Pound from University of Nottingham explains ... Bug Byte puzzle here - - and apply to Jane Street programs here - (episode sponsor). The real-world doesn't graph well. Sydney Von Arx discusses GenAI & RL -- See Jane Street's After seemingly insurmountable issues with Artificial General Intelligence, Rob Miles takes a look at a promising solution: ... Finite State Automata meets Recursion. Professor Brailsford continues the story of computers without memory. State
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Last Updated: June 6, 2026
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