stream:// data science
December 01, 2020
660
ML.NET Model Builder brings numerous bug fixes and enhancements, including advanced data loading options and streaming training data from SQL
September 26, 2020
605
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
569
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
625
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
629
Posts and writings by Joel Grus
July 26, 2020
822
Featuring 3Blue1Brown Watch the 2nd video on 3Blue1Brown here: https://www.youtube.com/watch?v=MzRCDLre1b4 Support MinutePhysics on Patreon! http://www.patre...
July 06, 2020
563
Key element of LSTM is the ability to work with sequences and
its gating mechanism.
June 15, 2020
866
In this Python Tutorial we build a simple chatbot using PyTorch and Deep Learning. I will also provide an introduction to some basic Natural Language Process...
May 26, 2020
986
Ближайшая конференция — DotNext 2020 Piter 15-18 июня, Online Подробности и билеты: https://bit.ly/dotnext2020piter .Need to incorporate ML and AI into your ...
May 20, 2020
591
ML.NET is a cross-platform, machine learning framework for .NET developers. Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to train and consume custom ML.NET models in your .NET apps. You can use ML.NET and Model Builder to create custom machine learning models without having prior machine learning experience and without leaving the .NET ecosystem.
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