Sensemaking Data Visualisation Computerphile

Sensemaking Data Visualisation Computerphile

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Introduction on Sensemaking Data Visualisation Computerphile
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Introduction on Sensemaking Data Visualisation Computerphile

Seeing is believing - Dr Mike Pound helps us understand how to turn our datapoints into Powerpoints. This is part 2 of the If you run out of headroom with your chosen sample rate, how do you avoid the problems of unwanted harmonics? If you're not the customer you are the product. Dr Max Wilson on the third party apps embedded in social media. EXTRA BITS: ... Search Engines are a bit like the Public Library - You wouldn't wander around hoping to find the book you want, there's a system ... Dicussing implementation with Professor Brailsford. Professor Brailsford emailed me after we recorded this to say that of course ... Researchers stumbled upon a simple but worrying bug. Cropped images from Pixel phones contained a great deal of the original ...

Bayesian logic is already helping to improve Machine Learning results using statistical models. Professor Mike Osborne drew us ... SGML 'theologians' were at war with Internet browser 'pragmatists' after Sir Tim Berners-Lee released HTML on the world. We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ... Language Models' Achilles heel: Rob Miles talks about "glitch" tokens, those mysterious words which, which result in gibberish ... After a recent collaboration with an artist, Professor Moriarty is exploring whether the physics within patterns and art can be ... How are images represented in a computer? Image analyst & Research Fellow Mike Pound gives us a snapshot. (First in a series ...