The world is filled with things that most of us are able to understand and react to without much thought… a stop sign partially covered by snow is still a stop sign… a chair that’s five times bigger than usual, is still a place to sit. But for computers, the world is often messy and complicated. Google engineers and researchers discuss how machine learning is beginning to make computers, and many of the things we use them for (maps, search, recommending videos, translations), better. [ Ссылка ]
Google engineers and researcher (in order of appearance): Blaise Aguera Y Arcas, Greg Corrado, John Giannandrea, Peter Norvig, Jeff Dean, Geoffrey Hinton, Anna Patterson.
More on Machine Learning at Google :
Blog: [ Ссылка ]
G+ page: [ Ссылка ]
Twitter: [ Ссылка ]
Machine Learning and Deep Neural Nets Explained: [ Ссылка ]
Machine Learning: Making Sense of a Messy World
Теги
machine intelligenceartificial intelligencecomputer intelligencemachine learningdeep learningneural networkstatistical inferencesupervised learningunsupervised learningreinforcement learningclusteringpattern recognitionAIMLMIdeep mindexamplesprogressspeech recognitionimage recognitiontranslationGoogleBlaise Aguera Y ArcasGreg CorradoJohn GiannandreaPeter NorvigJeff DeanGeoffrey HintonAnna Patterson
