Open Source Software Leads Growth of Deep Learning Community

Faster CPU and GPU computers have arrived and AI computing is becoming available to more people. Amazon and Google are already rolling out services that allow anyone access to the computational resources required for AI, in particular deep learning. I am looking forward at how this will be incorporated into the next gen of personal devices.

There are too many areas to discuss on this, but here I would like to mention that deep learning is catching up fast on the open source software (OSS) environment.

GPU deep learning with NVIDIA provides a good start. They even have a whole section devoted to deep learning;

https://www.nvidia.com/en-us/deep-learning-ai/education/

A quick guide on deep learning is available at Deep Learning Introduction.

The Day British Airways System Crashed in 2017

Waiting to hear the cause of it. How difficult is it to start up the back up process?

Source https://www.thesun.co.uk/news/3669536/british-airway-it-failure-outsourced-staff/

Pentaho 7 Community Edition

Summary of their licenses.

With big data and increase interest in business intelligence, there seems to be many software out there to suit all your needs. As for OSS licensed, the name Pentaho have been around for a long time. Here is a little note on their licensing.

Pentaho Business Analytics Platform 2, Pentaho Reporting Engine and Pentaho Report Designer are licensed as GPL v2.

Pentaho Data Integration or Kettle is license as Apache version 2.0. Details are found at  their wiki.

There is an interesting and comforting public post on Kettle license at Pentaho Forum with regards to Pentaho licensing.

Community Edition

Pentaho 7.1 is currently available but there is still the community edition, and my notes on Howto install is available only for the Linux server.

• Howto install Pentaho 7 on Linux

The additional known components that enterprise have and community edition doesn't is the self service designer dashboard and interactive reporting. Still searching for comparison of the community edition and other BI tools in the market.