The subject of February’s San Francisco Metrics Meetup was anomaly detection where Cody Rioux from the real-time analytics team at Netflix gave this talk on artificial intelligence and [...]
Realising the potential of large datasets through Deep Learning, for some, may be considered the remit of an exclusive club of organisations with deep, deep pockets and the infrastructure to [...]
(TRANSCRIPT) ‘Deep Learning for Language Understanding’ Quoc Le, Research Scientist, Google Manually transcripting talks and lectures can really focus the mind and drive home [...]
One of the highlights of January’s Deep Learning Summit in San Francisco was Andrew Ng’s fireside chat with Derrick Harris (fireplace not included) in which Ng gave a fantastic [...]
New technology can be slightly baffling to a lot of people depending on how it is presented, and ‘a lot of people’ might be the people that would jump to use this technology if it was [...]
After leaving IBM Research where he worked on the SyNAPSE neuromorphic silicon chip, Greg Corrado became one of the founding members and the Co-technical Lead of Google’s Large Scale Deep [...]
Netflix invests considerable resources into Deep Learning in order to create a service which gives users what they want, ideally before they know it. That is to say modestly, using resources [...]
Daeil Kim is a Data Scientist at the New York Times, a role which has crystallised his research work into the niche between Machine Learning and Journalism. Kim spoke at the New York Data Science [...]
