Hyperscale hardware: ML at scale on top of Azure + FPGA
Build with an Azure free account. Get USD200 credit for 30 days and 12 months of free services.
Start free todayIntroducing ML.NET
Play Introducing ML.NET
Description
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 existing .NET apps through a code-driven and UI driven approach. ML.NET has been used extensively within Microsoft by Windows, Azure, SQL & Bing for a decade and with this first enablement we want to provide these capabilities to all .NET developers. We welcome you to become a part of this journey as we build this in the open and to demonstrate our commitment towards this effort we are launching first bits of our ML.NET experience today. This session will go into scenarios that ML.NET enables along with the vision, architecture for ML.NET.
Create a Free Account (Azure): https://aka.ms/azft-ml
Download
Download this episode
- MP3 (59.4 MB)
- Low Quality MP4 (73.0 MB)
- High Quality MP4 (199.2 MB)
- Mid Quality MP4 (150.2 MB)
Download captions
More episodes in this series
Great Tools Make for a Productive Azure Experience
Related episodes
Machine Learning in .NET (ML.NET)
Machine learning and AI with .NET
Modernizing existing .NET applications with Windows Containers and Azure cloud
Faster C++ Links with Visual Studio 2017
C++ development with Visual Studio Code
Learn what's new with Microsoft Visual C++
What's New with C++ Cross-Platform for Visual Studio 2015 Update 2
C++ Discussion
Cross-Platform at Microsoft: Xamarin, Cordova, Unity and C++ Panel
Top 6 Reasons to Move Your C++ Code to Visual Studio 2015
The Discussion
-
El Bruno Amazing session.
Thanks for sharing !
-
Raghavendra Please share source code
-
Marius Can we get links to the sample code ? please share
-
Cesar @Raghavendra:Please, see samples for ML.NET at: https://github.com/dotnet/machinelearning-samples
-
Cesar @Marius: Please, see code samples for ML.NET at: https://github.com/dotnet/machinelearning-samples
-
ArmenK Ankit, should speak slower, too fast, thats not easy to understand and catch.
Fast and with accent makes the whole presentation so difficult to watch. Stopped watching after 10, mins, impossible
-
Ashley Great Session! wonderful talk on AI and ML.
-
Kinsley Great session, loved the demo(s) shown here!
-
Tom Great Job Ankit!, any ideas where we can find the code for these samples?
-
ML Fun Excellent talk on Machine Learning, love that this is finally in .NET!