deepsense.io announced the launch of Neptune – its innovative machine learning platform for managing multiple data science experiments. The premiere took place at the inaugural A.I. Conference (September 26-27) as well as this year’s Strata + Hadoop World (September 27-29), both being held in New York City.
Latest version of deepsense.io’s flagship Big Data product now features Spark 2.0 support, external Spark clusters, and custom operations and notebooks in R
In 2013 the Deepmind team invented an algorithm called deep Q-learning. It learns to play Atari 2600 games using only the input from the screen. Following a call by OpenAI, we adapted this method to deal with a situation where the playing agent is given not the screen, but rather the RAM state of the Atari machine. Our work was accepted to the Computer Games Workshop accompanying the IJCAI 2016 conference. This post describes the original DQN method and the changes we made to it. You can re-create our experiments using a publicly available code.
deepsense.ai is releasing a new product. Neptune – a machine learning platform. Read about how we got the idea for Neptune and its main features.
Presenting new features in Seahorse, Release 1.3 – custom operations in R and enhanced data exploration capabilities in an R Notebook.
deepsense.io is happy to announce a broad cooperation with Open Data Science Conference (ODSC) in London.