stream:// data science


July 25, 2018
  892
There is no way to predict which quantum system will garner system share in the next years, but most large chip, system, and software companies are
July 23, 2018
  1134
We are excited to share that Video Indexer has a new capability, Spoken Language Identification (LID)!
July 16, 2018
  984
Microsoft is teaming up with National Geographic to launch the AI for Earth Innovation Grant, an initiative that’ll provide researchers access to AI development tools.
July 16, 2018
  1126
Here is what a recent whitepaper by Dataiku reveals about Artificial intelligence and machine learning emphasising on the role of data scientists. Let’s find out. (This is the first part of an article series based on a whitepaper by Dataiku)   The year 2018 was supposed to be the one
July 09, 2018
  1070
Code that accompanies this article can be downloaded here. In the first article of machine learning in ML.NET saga, we explored basics of machine learning and we got our first look at Microsoft’s…
June 30, 2018
  1131
An easy guide to everything AI. More from Microsoft Story Labs: microsoft.com/storylabs. Subscribe to Microsoft on YouTube here: https://aka.ms/SubscribeToYo...
June 17, 2018
  1290
Microsoft's ML.NET is a multi-platform machine learning framework that runs on .NET Core. First debuted in May during Build, its second release adds several new features and a separate GitHub repo demonstrating how to put the framework to use.
May 18, 2018
  1250
To build the next set of personalized and engaging applications, more and more developers are adding ML to their applications. In this session, you'll learn ...
May 12, 2018
  1352
ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into exist...
May 08, 2018
  1375
Today at //Build 2018, we are excited to announce the preview of ML.NET, a cross-platform, open source machine learning framework. ML.NET will allow .NET developers to develop their own models and infuse custom ML into their applications without prior expertise in developing or tuning machine learning models.

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