Machine Learning: Making Sense of a Messy World
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. http://www.tensorflow.org
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: http://research.google.com/pubs/ArtificialIntelligenceandMachineLearning.html
G+ page: https://plus.google.com/+ResearchatGoogle
Twitter: https://twitter.com/googleresearch
Machine Learning and Deep Neural Nets Explained: https://www.youtube.com/watch?v=bHvf7Tagt18
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. http://www.tensorflow.org
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: http://research.google.com/pubs/ArtificialIntelligenceandMachineLearning.html
G+ page: https://plus.google.com/+ResearchatGoogle
Twitter: https://twitter.com/googleresearch
Machine Learning and Deep Neural Nets Explained: https://www.youtube.com/watch?v=bHvf7Tagt18
