stream:// data science


February 23, 2021
  31
Announced at Ignite 2019, Azure Quantum is a full-stack, cloud ecosystem enabling access to diverse quantum hardware and software. Aimed at developers, researchers, and customers, Azure Quantum is now in public preview.
January 28, 2021
  68
You may have heard that at JetBrains, we “develop with pleasure” and have the “drive to develop”, but what you may not have heard is that our interests are not limited to just development and the crea
January 12, 2021
  86
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December 13, 2020
  101
This post will teach you how to predict the value of a boolean using ML.NET and a binary classification trainer. The code uses movie scores as an example.
December 01, 2020
  190
ML.NET Model Builder brings numerous bug fixes and enhancements, including advanced data loading options and streaming training data from SQL
September 26, 2020
  162
ML.NET is an open-source, cross-platform machine learning framework for .NET developers. It enables integrating machine learning into your .NET apps without requiring you to leave the .NET ecosystem or even have a background in ML or data science. ML.NET provides tooling (Model Builder UI in Visual Studio and the cross platform ML.NET CLI) that automatically trains custom machine learning models for you based on your scenario and data.
August 29, 2020
  132
Sr. Application Development Manager / Customer Engineer and PhD, David Da-Teh Huang, provides an introduction to supervised machine learning Author Introduction: Dr. Huang obtained his PhD from Caltech in 1990 and has been with Microsoft for over 20 years. He is a Certified Azure DevOps Expert,
August 20, 2020
  155
Jij Inc. and Toyota Tsusho are working together to begin tackling mobility and traffic challenges using quantum-inspired optimization in Azure Quantum.
August 09, 2020
  186
Posts and writings by Joel Grus
July 26, 2020
  264
Featuring 3Blue1Brown Watch the 2nd video on 3Blue1Brown here: https://www.youtube.com/watch?v=MzRCDLre1b4 Support MinutePhysics on Patreon! http://www.patre...

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