The first React.js Conference was held last week at Facebook HQ for the JavaScript library by Facebook and Instagram which has become hugely popular over [...]
To date, most serious machine learning tools and efforts have been assembled around internal bespoke systems which have to make sense of insane amounts of [...]
Andy Carle calls it ‘The Chasm of Despair” – the continuous loop between getting funding for your fantastic startup idea and the [...]
I am not entirely sure what to make of the news that Baidu admitted to turning the ImageNet Gentlemen’s Club into an all-you-can-eat engorgement of [...]
If you need a bit of guidance with knowing how to get your machine learning project off the ground and who to hire, this talk might give some pointers. [...]
Credit to the organisers of DevCon in Tel Aviv last month for a speakers line up which included Evgeny Goldin of Spotify in Berlin who described his [...]
There is every chance that the billions of us providing behavioural data to giants like Google and Facebook might be sleepwalking straight through [...]
No messing around here, if you’re in Silicon Valley and can’t make it to the Ember.js Meetup in San Francisco, Silicon Valley Ember.js Meetup [...]
The popular benchmark banded around about Apache Spark‘s machine learning library MLlib is that it is ten times faster than Hadoop based Apache [...]
This talk is from the North East Scala Symposium where Director of Engineering Toby Matjovsky spoke about Microservices in the context of working at Tapad, [...]
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 [...]
Deep Learning has been in our palms for a while now, and we all get to see the results from the requests we send to the tech companies we rely on for kicks [...]
One of the sessions on microservices which has been doing the rounds the last week was a talk by ThoughtWorks CTO Rebecca Parsons at QCon in London. The [...]