Saturday, October 08, 2016

Partnership on AI

Industry Leaders Establish Partnership on AI Best Practices | Partnership on Artificial Intelligence to Benefit People and Society

"Amazon, DeepMind/Google, Facebook, IBM, and Microsoft ... announced that they will create a non-profit organization that will work to advance public understanding of artificial intelligence technologies (AI) and formulate best practices on the challenges and opportunities within the field. Academics, non-profits, and specialists in policy and ethics will be invited to join the Board of the organization, named the Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI)."


"Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society."

Windows developer VM, .NET @ Docker

 A very convenient way to create dev VM on Azure:

Just released – Windows developer virtual machines – September 2016 build | Building Apps for Windows

...all you need to do is insert your Windows 10 Pro license key and instantly can start developing without having to worry about installing all the tooling. The VMs come in Hyper-V, Parallels, VirtualBox, and VMWare flavors.
These installs contain:


There is more:
".NET Framework Docker Images are live! "


Microsoft Machine Learning & Data Science Summit 2016 (!)

Microsoft Machine Learning & Data Science Summit 2016 | Channel 9
Atlanta, GA, September 26 - 27, 2016

Watch: Highlights of the Microsoft Data Science Summit

Revolutions: data science

Data Science for Absolutely Everybody | Microsoft Machine Learning & Data Science Summit 2016 | Channel 9
"This talk is a comprehensive overview of how to do data science from start to finish"


Slides (.pptx)

Microsoft Data Science Process:
How to do Data Science | Cortana Intelligence and Machine Learning Blog


What Types of Questions Can Data Science Answer? | Cortana Intelligence and Machine Learning Blog
  1. How much / how many?
  2. Which category?
  3. Which groups?
  4. Is it weird?
  5. Which action?
A Pocket Guide to Data Science @ Brandon Rohrer's Blog (he has PhD from MIT)