There is every chance that the billions of us providing behavioural data to giants like Google and Facebook might be sleepwalking straight through theĀ single most pivotal period in technological [...]
Pierre Garrigues is a Researcher in Machine Perception and Learning atĀ Flickr and also spoke at the Deep Learning Summit at the end of January to give an insight into how Flickr are automating [...]
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 [...]
Martin Fowler gave this talk on Microservices at XCONF in which he describes at a high level what Microservices is along with some of the essential things you need to have in place before going [...]
(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 [...]
Avi Bryant of Stripe is the Author of Brushfire, an extremely scalable framework for distributed and supervised learning of decision tree ensembles in Scala. This talk, featuring cookie monster, [...]