Presented at the recent O’Reilly OSCON – Open Source Convention 2014 by Josh Patterson (Patterson Consulting) and Adam Gibson (Skymind.io) is “Introduction to Parallel Iterative Deep Learning on Hadoop’s Next-Generation YARN Framework.”
R is a widely used statistical programming language but its interactive use is typically limited to a single machine. To enable large scale data analysis from R, SparkR was announced earlier this year in a blog post. SparkR is an open source R package developed at U.C. Berkeley AMPLab that allows data scientists to analyze large data sets and interactively run jobs on them from the R shell.
Project Adam is a new deep-learning system modeled after the human brain that has greater image classification accuracy and is 50 times faster than other systems in the industry. Project Adam is an initiative by Microsoft researchers and engineers that aims to demonstrate that large-scale, commodity distributed systems can train huge deep neural networks effectively.
Versium, a data technology company that operates a LifeData® predictive analytics scoring service, today announced the launch of its Predictive GivingScore solution.
If you’re a weather visionary and/or data scientist looking for a noble way to spend your summer, consider the Climate Crush – a weather data visualization contest with a cash prize. Weather Analytics opens its data and invites participants to create a visualization – infographic, dynamic interface, widget, app, anything – using the weather data (as well as any other open data sources).