DataArt’s team has released the latest version of an Amazon Alexa virtual device project (version 1.1). https://github.com/devicehive/AlexaDevice/releases/tag/v1.1 . This project aims to provide the ability to bring Alexa to any Linux device including embedded systems like Raspberry Pi boards. The binary release is packed into a snap package, which is a perfect way to deliver this project.

Short instructions to run it with snap:

1. You need to create your own Alexa Device on the Amazon developer portal. Follow this manual to create your …
   

In recent years, there has been significant progress in the field of machine learning. Much of this progress can be attributed to the increasing usage of graphics processing units (GPUs) to accelerate the training of machine learning models. In particular, the extra computational power has lead to the popularization of Deep Learning – the use of complex, multi-level neural networks to create models, capable of feature detection from large amounts of unlabeled training data.

GPUs are so well-suited to deep learning because the type of …

Machine learning, cloud, visualization, Hadoop, spark, data science, scalability, analytics, terabytes, petabytes, faster, bigger, more secure, simply better. The kind of a merry-go-round that keeps spinning in your head after you spend three days on the exhibit floor at Strata+Hadoop conference. And lots of elephants, of course.

Not only did we attend Strata with fellow colleagues from DataArt and DeviceHive, we also helped our friends at Canonical and brought our demo to their booth. Canonical was showing Juju: a cloud infrastructure …